DORA - Urdu Voice Scheduler 🎙️📅

An intelligent voice-powered scheduling assistant with natural language understanding in Urdu

Features • Demo • Installation • Usage • Contributing • License

🌟 Project Overview

DORA is an advanced web application that enables users to schedule calendar events using Urdu voice commands. Built with modern web technologies, DORA transcribes Urdu speech into text, extracts event details, and automatically schedules them in Google Calendar. The application also features a sophisticated RAG-based chatbot that can answer questions about scheduled events by retrieving relevant information from a vector database.

This project demonstrates the practical application of voice technology, natural language processing, and semantic search to create a seamless, accessible scheduling experience for Urdu-speaking users.

✨ Features

🎤 Voice Transcription

Records Urdu voice input through an intuitive interface
Leverages OpenAI's Whisper API for accurate transcription of Urdu speech
Supports various Urdu dialects and accents

📝 Task Extraction

Analyzes transcribed text using OpenAI's GPT-4o model
Intelligently extracts event details such as title, date, time, location, and participants
Handles relative time expressions in Urdu (e.g., "کل" for tomorrow, "اگلے ہفتے" for next week)
Ensures all events are scheduled for future dates

🤖 Chatbot Integration

Implements a Retrieval-Augmented Generation (RAG) architecture
Stores event data as BERT embeddings in Pinecone vector database
Enables semantic search for retrieving relevant calendar information
Answers natural language queries about scheduled events (e.g., "When is my meeting with Abdullah Arif?")
Provides contextual responses based on the user's calendar data

🔐 Authentication

Secure authentication using Google OAuth 2.0 via NextAuth.js
Protects user data and calendar access
Maintains persistent sessions with JWT tokens

📅 Calendar Integration

Seamless integration with Google Calendar API
View, create, edit, and delete calendar events
Multiple calendar views (day, week, month)
Real-time synchronization of events

🌐 Additional Features

Responsive Design: Optimized for mobile, tablet, and desktop
Timezone Management: Support for various timezones
Debug Tools: Real-time debugging information
RTL Support: Right-to-left layout for Urdu interface

🔧 Tech Stack

Frontend	Backend	AI & Data	Authentication
Next.js	Node.js	OpenAI Whisper	NextAuth.js
React	API Routes	GPT-4o	Google OAuth
Tailwind CSS	TypeScript	Pinecone	JWT
Radix UI	date-fns-tz	BERT Embeddings

🚀 Live Demo

Experience DORA at: https://dora-urdu-voice-scheduler.vercel.app/

📋 Installation

Prerequisites

Node.js (v16+)
pnpm package manager
Google Cloud Project with Calendar API enabled
OpenAI API Key for Whisper transcription and GPT models
Pinecone API Key for vector database

Setup Steps

Clone the repository

git clone https://github.com/abdullaharif381/dora-a3
cd dora-a3

Install dependencies
```
pnpm install
```

Configure environment variables

Create a .env.local file in the root directory:

GOOGLE_CLIENT_ID=your-google-client-id
GOOGLE_CLIENT_SECRET=your-google-client-secret
OPENAI_API_KEY=your-openai-api-key
NEXTAUTH_SECRET=your-nextauth-secret
NEXTAUTH_URL=http://localhost:3000

Development

# Start development server
pnpm dev

# Build for production
pnpm build

# Start production server
pnpm start

Access the application at http://localhost:3000

🔍 Usage

Sign in with your Google account
Record Voice - Click the "Record" button and speak in Urdu
Manage Events - Create, view, update or delete events
Review - Check the debug section for processing information

Voice Command Flow

graph LR
    A[Record Voice] --> B[Transcribe with Whisper API]
    B --> C[Process Command]
    C --> D[Create Google Calendar Event]
    D --> E[Confirm to User]

💡 Core Functionality

Voice Processing - Records Urdu speech and transcribes it via OpenAI Whisper API
Natural Language Understanding - Extracts event details from transcribed text
Calendar Management - Creates, updates, and deletes events in Google Calendar
Authentication - Secures user data with Google OAuth

👥 Contributing

Contributions are welcome! To contribute:

Fork the repository
Create a feature branch (git checkout -b feature/amazing-feature)
Commit your changes (git commit -m 'Add amazing feature')
Push to your branch (git push origin feature/amazing-feature)
Open a Pull Request

Please ensure your code follows the project's coding standards and includes tests where applicable.

🗺️ Roadmap

🤖 Chatbot Interface - Interactive scheduling experience
👥 Multi-User Support - Independent calendar management for teams
🔊 Enhanced Voice Recognition - Improved Urdu language processing
📱 Mobile App - Native iOS and Android applications
🌙 Dark Mode - Enhanced visual experience
🌐 Multi-Language Support - Extend beyond Urdu
📊 Analytics Dashboard - Insights into scheduled events
📴 Offline Support - Function without internet connection

DORA - Urdu Voice Scheduler 🎙️📅

An intelligent voice-powered scheduling assistant with natural language understanding in Urdu

Features • Demo • Installation • Usage • Contributing • License

🌟 Project Overview

DORA is an advanced web application that enables users to schedule calendar events using Urdu voice commands. Built with modern web technologies, DORA transcribes Urdu speech into text, extracts event details, and automatically schedules them in Google Calendar. The application also features a sophisticated RAG-based chatbot that can answer questions about scheduled events by retrieving relevant information from a vector database.

This project demonstrates the practical application of voice technology, natural language processing, and semantic search to create a seamless, accessible scheduling experience for Urdu-speaking users.

✨ Features

🎤 Voice Transcription

Records Urdu voice input through an intuitive interface
Leverages OpenAI's Whisper API for accurate transcription of Urdu speech
Supports various Urdu dialects and accents

📝 Task Extraction

Analyzes transcribed text using OpenAI's GPT-4o model
Intelligently extracts event details such as title, date, time, location, and participants
Handles relative time expressions in Urdu (e.g., "کل" for tomorrow, "اگلے ہفتے" for next week)
Ensures all events are scheduled for future dates

🤖 Chatbot Integration

Implements a Retrieval-Augmented Generation (RAG) architecture
Stores event data as BERT embeddings in Pinecone vector database
Enables semantic search for retrieving relevant calendar information
Answers natural language queries about scheduled events (e.g., "When is my meeting with Abdullah Arif?")
Provides contextual responses based on the user's calendar data

🔐 Authentication

Secure authentication using Google OAuth 2.0 via NextAuth.js
Protects user data and calendar access
Maintains persistent sessions with JWT tokens

📅 Calendar Integration

Seamless integration with Google Calendar API
View, create, edit, and delete calendar events
Multiple calendar views (day, week, month)
Real-time synchronization of events

🌐 Additional Features

Responsive Design: Optimized for mobile, tablet, and desktop
Timezone Management: Support for various timezones
Debug Tools: Real-time debugging information
RTL Support: Right-to-left layout for Urdu interface

🔧 Tech Stack

Frontend	Backend	AI & Data	Authentication
Next.js	Node.js	OpenAI Whisper	NextAuth.js
React	API Routes	GPT-4o	Google OAuth
Tailwind CSS	TypeScript	Pinecone	JWT
Radix UI	date-fns-tz	BERT Embeddings

🚀 Live Demo

Experience DORA at: https://dora-urdu-voice-scheduler.vercel.app/

📋 Installation

Prerequisites

Node.js (v16+)
pnpm package manager
Google Cloud Project with Calendar API enabled
OpenAI API Key for Whisper transcription and GPT models
Pinecone API Key for vector database

Setup Steps

Clone the repository

git clone https://github.com/abdullaharif381/dora-a3
cd dora-a3

Install dependencies
```
pnpm install
```

Configure environment variables

Create a .env.local file in the root directory:

GOOGLE_CLIENT_ID=your-google-client-id
GOOGLE_CLIENT_SECRET=your-google-client-secret
OPENAI_API_KEY=your-openai-api-key
NEXTAUTH_SECRET=your-nextauth-secret
NEXTAUTH_URL=http://localhost:3000

Development

# Start development server
pnpm dev

# Build for production
pnpm build

# Start production server
pnpm start

Access the application at http://localhost:3000

🔍 Usage

Sign in with your Google account
Record Voice - Click the "Record" button and speak in Urdu
Manage Events - Create, view, update or delete events
Review - Check the debug section for processing information

Voice Command Flow

graph LR
    A[Record Voice] --> B[Transcribe with Whisper API]
    B --> C[Process Command]
    C --> D[Create Google Calendar Event]
    D --> E[Confirm to User]

💡 Core Functionality

Voice Processing - Records Urdu speech and transcribes it via OpenAI Whisper API
Natural Language Understanding - Extracts event details from transcribed text
Calendar Management - Creates, updates, and deletes events in Google Calendar
Authentication - Secures user data with Google OAuth

👥 Contributing

Contributions are welcome! To contribute:

Fork the repository
Create a feature branch (git checkout -b feature/amazing-feature)
Commit your changes (git commit -m 'Add amazing feature')
Push to your branch (git push origin feature/amazing-feature)
Open a Pull Request

Please ensure your code follows the project's coding standards and includes tests where applicable.

🗺️ Roadmap

🤖 Chatbot Interface - Interactive scheduling experience
👥 Multi-User Support - Independent calendar management for teams
🔊 Enhanced Voice Recognition - Improved Urdu language processing
📱 Mobile App - Native iOS and Android applications
🌙 Dark Mode - Enhanced visual experience
🌐 Multi-Language Support - Extend beyond Urdu
📊 Analytics Dashboard - Insights into scheduled events
📴 Offline Support - Function without internet connection

DORA - Urdu Voice Scheduler 🎙️📅

An intelligent voice-powered scheduling assistant with natural language understanding in Urdu

Features • Demo • Installation • Usage • Contributing • License

🌟 Project Overview

DORA is an advanced web application that enables users to schedule calendar events using Urdu voice commands. Built with modern web technologies, DORA transcribes Urdu speech into text, extracts event details, and automatically schedules them in Google Calendar. The application also features a sophisticated RAG-based chatbot that can answer questions about scheduled events by retrieving relevant information from a vector database.

This project demonstrates the practical application of voice technology, natural language processing, and semantic search to create a seamless, accessible scheduling experience for Urdu-speaking users.

✨ Features

🎤 Voice Transcription

Records Urdu voice input through an intuitive interface
Leverages OpenAI's Whisper API for accurate transcription of Urdu speech
Supports various Urdu dialects and accents

📝 Task Extraction

Analyzes transcribed text using OpenAI's GPT-4o model
Intelligently extracts event details such as title, date, time, location, and participants
Handles relative time expressions in Urdu (e.g., "کل" for tomorrow, "اگلے ہفتے" for next week)
Ensures all events are scheduled for future dates

🤖 Chatbot Integration

Implements a Retrieval-Augmented Generation (RAG) architecture
Stores event data as BERT embeddings in Pinecone vector database
Enables semantic search for retrieving relevant calendar information
Answers natural language queries about scheduled events (e.g., "When is my meeting with Abdullah Arif?")
Provides contextual responses based on the user's calendar data

🔐 Authentication

Secure authentication using Google OAuth 2.0 via NextAuth.js
Protects user data and calendar access
Maintains persistent sessions with JWT tokens

📅 Calendar Integration

Seamless integration with Google Calendar API
View, create, edit, and delete calendar events
Multiple calendar views (day, week, month)
Real-time synchronization of events

🌐 Additional Features

Responsive Design: Optimized for mobile, tablet, and desktop
Timezone Management: Support for various timezones
Debug Tools: Real-time debugging information
RTL Support: Right-to-left layout for Urdu interface

🔧 Tech Stack

Frontend	Backend	AI & Data	Authentication
Next.js	Node.js	OpenAI Whisper	NextAuth.js
React	API Routes	GPT-4o	Google OAuth
Tailwind CSS	TypeScript	Pinecone	JWT
Radix UI	date-fns-tz	BERT Embeddings

🚀 Live Demo

Experience DORA at: https://dora-urdu-voice-scheduler.vercel.app/

📋 Installation

Prerequisites

Node.js (v16+)
pnpm package manager
Google Cloud Project with Calendar API enabled
OpenAI API Key for Whisper transcription and GPT models
Pinecone API Key for vector database

Setup Steps

Clone the repository

git clone https://github.com/abdullaharif381/dora-a3
cd dora-a3

Install dependencies
```
pnpm install
```

Configure environment variables

Create a .env.local file in the root directory:

GOOGLE_CLIENT_ID=your-google-client-id
GOOGLE_CLIENT_SECRET=your-google-client-secret
OPENAI_API_KEY=your-openai-api-key
NEXTAUTH_SECRET=your-nextauth-secret
NEXTAUTH_URL=http://localhost:3000

Development

# Start development server
pnpm dev

# Build for production
pnpm build

# Start production server
pnpm start

Access the application at http://localhost:3000

🔍 Usage

Sign in with your Google account
Record Voice - Click the "Record" button and speak in Urdu
Manage Events - Create, view, update or delete events
Review - Check the debug section for processing information

Voice Command Flow

graph LR
    A[Record Voice] --> B[Transcribe with Whisper API]
    B --> C[Process Command]
    C --> D[Create Google Calendar Event]
    D --> E[Confirm to User]

💡 Core Functionality

Voice Processing - Records Urdu speech and transcribes it via OpenAI Whisper API
Natural Language Understanding - Extracts event details from transcribed text
Calendar Management - Creates, updates, and deletes events in Google Calendar
Authentication - Secures user data with Google OAuth

👥 Contributing

Contributions are welcome! To contribute:

Fork the repository
Create a feature branch (git checkout -b feature/amazing-feature)
Commit your changes (git commit -m 'Add amazing feature')
Push to your branch (git push origin feature/amazing-feature)
Open a Pull Request

Please ensure your code follows the project's coding standards and includes tests where applicable.

🗺️ Roadmap

🤖 Chatbot Interface - Interactive scheduling experience
👥 Multi-User Support - Independent calendar management for teams
🔊 Enhanced Voice Recognition - Improved Urdu language processing
📱 Mobile App - Native iOS and Android applications
🌙 Dark Mode - Enhanced visual experience
🌐 Multi-Language Support - Extend beyond Urdu
📊 Analytics Dashboard - Insights into scheduled events
📴 Offline Support - Function without internet connection

DORA - Urdu Voice Scheduler 🎙️📅

An intelligent voice-powered scheduling assistant with natural language understanding in Urdu

Features • Demo • Installation • Usage • Contributing • License

🌟 Project Overview

DORA is an advanced web application that enables users to schedule calendar events using Urdu voice commands. Built with modern web technologies, DORA transcribes Urdu speech into text, extracts event details, and automatically schedules them in Google Calendar. The application also features a sophisticated RAG-based chatbot that can answer questions about scheduled events by retrieving relevant information from a vector database.

This project demonstrates the practical application of voice technology, natural language processing, and semantic search to create a seamless, accessible scheduling experience for Urdu-speaking users.

✨ Features

🎤 Voice Transcription

Records Urdu voice input through an intuitive interface
Leverages OpenAI's Whisper API for accurate transcription of Urdu speech
Supports various Urdu dialects and accents

📝 Task Extraction

Analyzes transcribed text using OpenAI's GPT-4o model
Intelligently extracts event details such as title, date, time, location, and participants
Handles relative time expressions in Urdu (e.g., "کل" for tomorrow, "اگلے ہفتے" for next week)
Ensures all events are scheduled for future dates

🤖 Chatbot Integration

Implements a Retrieval-Augmented Generation (RAG) architecture
Stores event data as BERT embeddings in Pinecone vector database
Enables semantic search for retrieving relevant calendar information
Answers natural language queries about scheduled events (e.g., "When is my meeting with Abdullah Arif?")
Provides contextual responses based on the user's calendar data

🔐 Authentication

Secure authentication using Google OAuth 2.0 via NextAuth.js
Protects user data and calendar access
Maintains persistent sessions with JWT tokens

📅 Calendar Integration

Seamless integration with Google Calendar API
View, create, edit, and delete calendar events
Multiple calendar views (day, week, month)
Real-time synchronization of events

🌐 Additional Features

Responsive Design: Optimized for mobile, tablet, and desktop
Timezone Management: Support for various timezones
Debug Tools: Real-time debugging information
RTL Support: Right-to-left layout for Urdu interface

🔧 Tech Stack

Frontend	Backend	AI & Data	Authentication
Next.js	Node.js	OpenAI Whisper	NextAuth.js
React	API Routes	GPT-4o	Google OAuth
Tailwind CSS	TypeScript	Pinecone	JWT
Radix UI	date-fns-tz	BERT Embeddings

🚀 Live Demo

Experience DORA at: https://dora-urdu-voice-scheduler.vercel.app/

📋 Installation

Prerequisites

Node.js (v16+)
pnpm package manager
Google Cloud Project with Calendar API enabled
OpenAI API Key for Whisper transcription and GPT models
Pinecone API Key for vector database

Setup Steps

Clone the repository

git clone https://github.com/abdullaharif381/dora-a3
cd dora-a3

Install dependencies
```
pnpm install
```

Configure environment variables

Create a .env.local file in the root directory:

GOOGLE_CLIENT_ID=your-google-client-id
GOOGLE_CLIENT_SECRET=your-google-client-secret
OPENAI_API_KEY=your-openai-api-key
NEXTAUTH_SECRET=your-nextauth-secret
NEXTAUTH_URL=http://localhost:3000

Development

# Start development server
pnpm dev

# Build for production
pnpm build

# Start production server
pnpm start

Access the application at http://localhost:3000

🔍 Usage

Sign in with your Google account
Record Voice - Click the "Record" button and speak in Urdu
Manage Events - Create, view, update or delete events
Review - Check the debug section for processing information

Voice Command Flow

graph LR
    A[Record Voice] --> B[Transcribe with Whisper API]
    B --> C[Process Command]
    C --> D[Create Google Calendar Event]
    D --> E[Confirm to User]

💡 Core Functionality

Voice Processing - Records Urdu speech and transcribes it via OpenAI Whisper API
Natural Language Understanding - Extracts event details from transcribed text
Calendar Management - Creates, updates, and deletes events in Google Calendar
Authentication - Secures user data with Google OAuth

👥 Contributing

Contributions are welcome! To contribute:

Fork the repository
Create a feature branch (git checkout -b feature/amazing-feature)
Commit your changes (git commit -m 'Add amazing feature')
Push to your branch (git push origin feature/amazing-feature)
Open a Pull Request

Please ensure your code follows the project's coding standards and includes tests where applicable.

🗺️ Roadmap

🤖 Chatbot Interface - Interactive scheduling experience
👥 Multi-User Support - Independent calendar management for teams
🔊 Enhanced Voice Recognition - Improved Urdu language processing
📱 Mobile App - Native iOS and Android applications
🌙 Dark Mode - Enhanced visual experience
🌐 Multi-Language Support - Extend beyond Urdu
📊 Analytics Dashboard - Insights into scheduled events
📴 Offline Support - Function without internet connection

DORA - Urdu Voice Scheduler 🎙️📅

An intelligent voice-powered scheduling assistant with natural language understanding in Urdu

Features • Demo • Installation • Usage • Contributing • License

🌟 Project Overview

DORA is an advanced web application that enables users to schedule calendar events using Urdu voice commands. Built with modern web technologies, DORA transcribes Urdu speech into text, extracts event details, and automatically schedules them in Google Calendar. The application also features a sophisticated RAG-based chatbot that can answer questions about scheduled events by retrieving relevant information from a vector database.

This project demonstrates the practical application of voice technology, natural language processing, and semantic search to create a seamless, accessible scheduling experience for Urdu-speaking users.

✨ Features

🎤 Voice Transcription

Records Urdu voice input through an intuitive interface
Leverages OpenAI's Whisper API for accurate transcription of Urdu speech
Supports various Urdu dialects and accents

📝 Task Extraction

Analyzes transcribed text using OpenAI's GPT-4o model
Intelligently extracts event details such as title, date, time, location, and participants
Handles relative time expressions in Urdu (e.g., "کل" for tomorrow, "اگلے ہفتے" for next week)
Ensures all events are scheduled for future dates

🤖 Chatbot Integration

Implements a Retrieval-Augmented Generation (RAG) architecture
Stores event data as BERT embeddings in Pinecone vector database
Enables semantic search for retrieving relevant calendar information
Answers natural language queries about scheduled events (e.g., "When is my meeting with Abdullah Arif?")
Provides contextual responses based on the user's calendar data

🔐 Authentication

Secure authentication using Google OAuth 2.0 via NextAuth.js
Protects user data and calendar access
Maintains persistent sessions with JWT tokens

📅 Calendar Integration

Seamless integration with Google Calendar API
View, create, edit, and delete calendar events
Multiple calendar views (day, week, month)
Real-time synchronization of events

🌐 Additional Features

Responsive Design: Optimized for mobile, tablet, and desktop
Timezone Management: Support for various timezones
Debug Tools: Real-time debugging information
RTL Support: Right-to-left layout for Urdu interface

🔧 Tech Stack

Frontend	Backend	AI & Data	Authentication
Next.js	Node.js	OpenAI Whisper	NextAuth.js
React	API Routes	GPT-4o	Google OAuth
Tailwind CSS	TypeScript	Pinecone	JWT
Radix UI	date-fns-tz	BERT Embeddings

🚀 Live Demo

Experience DORA at: https://dora-urdu-voice-scheduler.vercel.app/

📋 Installation

Prerequisites

Node.js (v16+)
pnpm package manager
Google Cloud Project with Calendar API enabled
OpenAI API Key for Whisper transcription and GPT models
Pinecone API Key for vector database

Setup Steps

Clone the repository

git clone https://github.com/abdullaharif381/dora-a3
cd dora-a3

Install dependencies
```
pnpm install
```

Configure environment variables

Create a .env.local file in the root directory:

GOOGLE_CLIENT_ID=your-google-client-id
GOOGLE_CLIENT_SECRET=your-google-client-secret
OPENAI_API_KEY=your-openai-api-key
NEXTAUTH_SECRET=your-nextauth-secret
NEXTAUTH_URL=http://localhost:3000

Development

# Start development server
pnpm dev

# Build for production
pnpm build

# Start production server
pnpm start

Access the application at http://localhost:3000

🔍 Usage

Sign in with your Google account
Record Voice - Click the "Record" button and speak in Urdu
Manage Events - Create, view, update or delete events
Review - Check the debug section for processing information

Voice Command Flow

graph LR
    A[Record Voice] --> B[Transcribe with Whisper API]
    B --> C[Process Command]
    C --> D[Create Google Calendar Event]
    D --> E[Confirm to User]

💡 Core Functionality

Voice Processing - Records Urdu speech and transcribes it via OpenAI Whisper API
Natural Language Understanding - Extracts event details from transcribed text
Calendar Management - Creates, updates, and deletes events in Google Calendar
Authentication - Secures user data with Google OAuth

👥 Contributing

Contributions are welcome! To contribute:

Fork the repository
Create a feature branch (git checkout -b feature/amazing-feature)
Commit your changes (git commit -m 'Add amazing feature')
Push to your branch (git push origin feature/amazing-feature)
Open a Pull Request

Please ensure your code follows the project's coding standards and includes tests where applicable.

🗺️ Roadmap

🤖 Chatbot Interface - Interactive scheduling experience
👥 Multi-User Support - Independent calendar management for teams
🔊 Enhanced Voice Recognition - Improved Urdu language processing
📱 Mobile App - Native iOS and Android applications
🌙 Dark Mode - Enhanced visual experience
🌐 Multi-Language Support - Extend beyond Urdu
📊 Analytics Dashboard - Insights into scheduled events
📴 Offline Support - Function without internet connection

DORA - Urdu Voice Scheduler 🎙️📅

An intelligent voice-powered scheduling assistant with natural language understanding in Urdu

Features • Demo • Installation • Usage • Contributing • License

🌟 Project Overview

DORA is an advanced web application that enables users to schedule calendar events using Urdu voice commands. Built with modern web technologies, DORA transcribes Urdu speech into text, extracts event details, and automatically schedules them in Google Calendar. The application also features a sophisticated RAG-based chatbot that can answer questions about scheduled events by retrieving relevant information from a vector database.

This project demonstrates the practical application of voice technology, natural language processing, and semantic search to create a seamless, accessible scheduling experience for Urdu-speaking users.

✨ Features

🎤 Voice Transcription

Records Urdu voice input through an intuitive interface
Leverages OpenAI's Whisper API for accurate transcription of Urdu speech
Supports various Urdu dialects and accents

📝 Task Extraction

Analyzes transcribed text using OpenAI's GPT-4o model
Intelligently extracts event details such as title, date, time, location, and participants
Handles relative time expressions in Urdu (e.g., "کل" for tomorrow, "اگلے ہفتے" for next week)
Ensures all events are scheduled for future dates

🤖 Chatbot Integration

Implements a Retrieval-Augmented Generation (RAG) architecture
Stores event data as BERT embeddings in Pinecone vector database
Enables semantic search for retrieving relevant calendar information
Answers natural language queries about scheduled events (e.g., "When is my meeting with Abdullah Arif?")
Provides contextual responses based on the user's calendar data

🔐 Authentication

Secure authentication using Google OAuth 2.0 via NextAuth.js
Protects user data and calendar access
Maintains persistent sessions with JWT tokens

📅 Calendar Integration

Seamless integration with Google Calendar API
View, create, edit, and delete calendar events
Multiple calendar views (day, week, month)
Real-time synchronization of events

🌐 Additional Features

Responsive Design: Optimized for mobile, tablet, and desktop
Timezone Management: Support for various timezones
Debug Tools: Real-time debugging information
RTL Support: Right-to-left layout for Urdu interface

🔧 Tech Stack

Frontend	Backend	AI & Data	Authentication
Next.js	Node.js	OpenAI Whisper	NextAuth.js
React	API Routes	GPT-4o	Google OAuth
Tailwind CSS	TypeScript	Pinecone	JWT
Radix UI	date-fns-tz	BERT Embeddings

🚀 Live Demo

Experience DORA at: https://dora-urdu-voice-scheduler.vercel.app/

📋 Installation

Prerequisites

Node.js (v16+)
pnpm package manager
Google Cloud Project with Calendar API enabled
OpenAI API Key for Whisper transcription and GPT models
Pinecone API Key for vector database

Setup Steps

Clone the repository

git clone https://github.com/abdullaharif381/dora-a3
cd dora-a3

Install dependencies
```
pnpm install
```

Configure environment variables

Create a .env.local file in the root directory:

GOOGLE_CLIENT_ID=your-google-client-id
GOOGLE_CLIENT_SECRET=your-google-client-secret
OPENAI_API_KEY=your-openai-api-key
NEXTAUTH_SECRET=your-nextauth-secret
NEXTAUTH_URL=http://localhost:3000

Development

# Start development server
pnpm dev

# Build for production
pnpm build

# Start production server
pnpm start

Access the application at http://localhost:3000

🔍 Usage

Sign in with your Google account
Record Voice - Click the "Record" button and speak in Urdu
Manage Events - Create, view, update or delete events
Review - Check the debug section for processing information

Voice Command Flow

graph LR
    A[Record Voice] --> B[Transcribe with Whisper API]
    B --> C[Process Command]
    C --> D[Create Google Calendar Event]
    D --> E[Confirm to User]

💡 Core Functionality

Voice Processing - Records Urdu speech and transcribes it via OpenAI Whisper API
Natural Language Understanding - Extracts event details from transcribed text
Calendar Management - Creates, updates, and deletes events in Google Calendar
Authentication - Secures user data with Google OAuth

👥 Contributing

Contributions are welcome! To contribute:

Fork the repository
Create a feature branch (git checkout -b feature/amazing-feature)
Commit your changes (git commit -m 'Add amazing feature')
Push to your branch (git push origin feature/amazing-feature)
Open a Pull Request

Please ensure your code follows the project's coding standards and includes tests where applicable.

🗺️ Roadmap

🤖 Chatbot Interface - Interactive scheduling experience
👥 Multi-User Support - Independent calendar management for teams
🔊 Enhanced Voice Recognition - Improved Urdu language processing
📱 Mobile App - Native iOS and Android applications
🌙 Dark Mode - Enhanced visual experience
🌐 Multi-Language Support - Extend beyond Urdu
📊 Analytics Dashboard - Insights into scheduled events
📴 Offline Support - Function without internet connection

DORA - Urdu Voice Scheduler 🎙️📅

An intelligent voice-powered scheduling assistant with natural language understanding in Urdu

Features • Demo • Installation • Usage • Contributing • License

🌟 Project Overview

DORA is an advanced web application that enables users to schedule calendar events using Urdu voice commands. Built with modern web technologies, DORA transcribes Urdu speech into text, extracts event details, and automatically schedules them in Google Calendar. The application also features a sophisticated RAG-based chatbot that can answer questions about scheduled events by retrieving relevant information from a vector database.

This project demonstrates the practical application of voice technology, natural language processing, and semantic search to create a seamless, accessible scheduling experience for Urdu-speaking users.

✨ Features

🎤 Voice Transcription

Records Urdu voice input through an intuitive interface
Leverages OpenAI's Whisper API for accurate transcription of Urdu speech
Supports various Urdu dialects and accents

📝 Task Extraction

Analyzes transcribed text using OpenAI's GPT-4o model
Intelligently extracts event details such as title, date, time, location, and participants
Handles relative time expressions in Urdu (e.g., "کل" for tomorrow, "اگلے ہفتے" for next week)
Ensures all events are scheduled for future dates

🤖 Chatbot Integration

Implements a Retrieval-Augmented Generation (RAG) architecture
Stores event data as BERT embeddings in Pinecone vector database
Enables semantic search for retrieving relevant calendar information
Answers natural language queries about scheduled events (e.g., "When is my meeting with Abdullah Arif?")
Provides contextual responses based on the user's calendar data

🔐 Authentication

Secure authentication using Google OAuth 2.0 via NextAuth.js
Protects user data and calendar access
Maintains persistent sessions with JWT tokens

📅 Calendar Integration

Seamless integration with Google Calendar API
View, create, edit, and delete calendar events
Multiple calendar views (day, week, month)
Real-time synchronization of events

🌐 Additional Features

Responsive Design: Optimized for mobile, tablet, and desktop
Timezone Management: Support for various timezones
Debug Tools: Real-time debugging information
RTL Support: Right-to-left layout for Urdu interface

🔧 Tech Stack

Frontend	Backend	AI & Data	Authentication
Next.js	Node.js	OpenAI Whisper	NextAuth.js
React	API Routes	GPT-4o	Google OAuth
Tailwind CSS	TypeScript	Pinecone	JWT
Radix UI	date-fns-tz	BERT Embeddings

🚀 Live Demo

Experience DORA at: https://dora-urdu-voice-scheduler.vercel.app/

📋 Installation

Prerequisites

Node.js (v16+)
pnpm package manager
Google Cloud Project with Calendar API enabled
OpenAI API Key for Whisper transcription and GPT models
Pinecone API Key for vector database

Setup Steps

Clone the repository

git clone https://github.com/abdullaharif381/dora-a3
cd dora-a3

Install dependencies
```
pnpm install
```

Configure environment variables

Create a .env.local file in the root directory:

GOOGLE_CLIENT_ID=your-google-client-id
GOOGLE_CLIENT_SECRET=your-google-client-secret
OPENAI_API_KEY=your-openai-api-key
NEXTAUTH_SECRET=your-nextauth-secret
NEXTAUTH_URL=http://localhost:3000

Development

# Start development server
pnpm dev

# Build for production
pnpm build

# Start production server
pnpm start

Access the application at http://localhost:3000

🔍 Usage

Sign in with your Google account
Record Voice - Click the "Record" button and speak in Urdu
Manage Events - Create, view, update or delete events
Review - Check the debug section for processing information

Voice Command Flow

graph LR
    A[Record Voice] --> B[Transcribe with Whisper API]
    B --> C[Process Command]
    C --> D[Create Google Calendar Event]
    D --> E[Confirm to User]

💡 Core Functionality

Voice Processing - Records Urdu speech and transcribes it via OpenAI Whisper API
Natural Language Understanding - Extracts event details from transcribed text
Calendar Management - Creates, updates, and deletes events in Google Calendar
Authentication - Secures user data with Google OAuth

👥 Contributing

Contributions are welcome! To contribute:

Fork the repository
Create a feature branch (git checkout -b feature/amazing-feature)
Commit your changes (git commit -m 'Add amazing feature')
Push to your branch (git push origin feature/amazing-feature)
Open a Pull Request

Please ensure your code follows the project's coding standards and includes tests where applicable.

🗺️ Roadmap

🤖 Chatbot Interface - Interactive scheduling experience
👥 Multi-User Support - Independent calendar management for teams
🔊 Enhanced Voice Recognition - Improved Urdu language processing
📱 Mobile App - Native iOS and Android applications
🌙 Dark Mode - Enhanced visual experience
🌐 Multi-Language Support - Extend beyond Urdu
📊 Analytics Dashboard - Insights into scheduled events
📴 Offline Support - Function without internet connection

DORA - Urdu Voice Scheduler 🎙️📅

An intelligent voice-powered scheduling assistant with natural language understanding in Urdu

Features • Demo • Installation • Usage • Contributing • License

🌟 Project Overview

DORA is an advanced web application that enables users to schedule calendar events using Urdu voice commands. Built with modern web technologies, DORA transcribes Urdu speech into text, extracts event details, and automatically schedules them in Google Calendar. The application also features a sophisticated RAG-based chatbot that can answer questions about scheduled events by retrieving relevant information from a vector database.

This project demonstrates the practical application of voice technology, natural language processing, and semantic search to create a seamless, accessible scheduling experience for Urdu-speaking users.

✨ Features

🎤 Voice Transcription

Records Urdu voice input through an intuitive interface
Leverages OpenAI's Whisper API for accurate transcription of Urdu speech
Supports various Urdu dialects and accents

📝 Task Extraction

Analyzes transcribed text using OpenAI's GPT-4o model
Intelligently extracts event details such as title, date, time, location, and participants
Handles relative time expressions in Urdu (e.g., "کل" for tomorrow, "اگلے ہفتے" for next week)
Ensures all events are scheduled for future dates

🤖 Chatbot Integration

Implements a Retrieval-Augmented Generation (RAG) architecture
Stores event data as BERT embeddings in Pinecone vector database
Enables semantic search for retrieving relevant calendar information
Answers natural language queries about scheduled events (e.g., "When is my meeting with Abdullah Arif?")
Provides contextual responses based on the user's calendar data

🔐 Authentication

Secure authentication using Google OAuth 2.0 via NextAuth.js
Protects user data and calendar access
Maintains persistent sessions with JWT tokens

📅 Calendar Integration

Seamless integration with Google Calendar API
View, create, edit, and delete calendar events
Multiple calendar views (day, week, month)
Real-time synchronization of events

🌐 Additional Features

Responsive Design: Optimized for mobile, tablet, and desktop
Timezone Management: Support for various timezones
Debug Tools: Real-time debugging information
RTL Support: Right-to-left layout for Urdu interface

🔧 Tech Stack

Frontend	Backend	AI & Data	Authentication
Next.js	Node.js	OpenAI Whisper	NextAuth.js
React	API Routes	GPT-4o	Google OAuth
Tailwind CSS	TypeScript	Pinecone	JWT
Radix UI	date-fns-tz	BERT Embeddings

🚀 Live Demo

Experience DORA at: https://dora-urdu-voice-scheduler.vercel.app/

📋 Installation

Prerequisites

Node.js (v16+)
pnpm package manager
Google Cloud Project with Calendar API enabled
OpenAI API Key for Whisper transcription and GPT models
Pinecone API Key for vector database

Setup Steps

Clone the repository

git clone https://github.com/abdullaharif381/dora-a3
cd dora-a3

Install dependencies
```
pnpm install
```

Configure environment variables

Create a .env.local file in the root directory:

GOOGLE_CLIENT_ID=your-google-client-id
GOOGLE_CLIENT_SECRET=your-google-client-secret
OPENAI_API_KEY=your-openai-api-key
NEXTAUTH_SECRET=your-nextauth-secret
NEXTAUTH_URL=http://localhost:3000

Development

# Start development server
pnpm dev

# Build for production
pnpm build

# Start production server
pnpm start

Access the application at http://localhost:3000

🔍 Usage

Sign in with your Google account
Record Voice - Click the "Record" button and speak in Urdu
Manage Events - Create, view, update or delete events
Review - Check the debug section for processing information

Voice Command Flow

graph LR
    A[Record Voice] --> B[Transcribe with Whisper API]
    B --> C[Process Command]
    C --> D[Create Google Calendar Event]
    D --> E[Confirm to User]

💡 Core Functionality

Voice Processing - Records Urdu speech and transcribes it via OpenAI Whisper API
Natural Language Understanding - Extracts event details from transcribed text
Calendar Management - Creates, updates, and deletes events in Google Calendar
Authentication - Secures user data with Google OAuth

👥 Contributing

Contributions are welcome! To contribute:

Fork the repository
Create a feature branch (git checkout -b feature/amazing-feature)
Commit your changes (git commit -m 'Add amazing feature')
Push to your branch (git push origin feature/amazing-feature)
Open a Pull Request

Please ensure your code follows the project's coding standards and includes tests where applicable.

🗺️ Roadmap

🤖 Chatbot Interface - Interactive scheduling experience
👥 Multi-User Support - Independent calendar management for teams
🔊 Enhanced Voice Recognition - Improved Urdu language processing
📱 Mobile App - Native iOS and Android applications
🌙 Dark Mode - Enhanced visual experience
🌐 Multi-Language Support - Extend beyond Urdu
📊 Analytics Dashboard - Insights into scheduled events
📴 Offline Support - Function without internet connection

DORA - Urdu Voice Scheduler 🎙️📅

An intelligent voice-powered scheduling assistant with natural language understanding in Urdu

Features • Demo • Installation • Usage • Contributing • License

🌟 Project Overview

DORA is an advanced web application that enables users to schedule calendar events using Urdu voice commands. Built with modern web technologies, DORA transcribes Urdu speech into text, extracts event details, and automatically schedules them in Google Calendar. The application also features a sophisticated RAG-based chatbot that can answer questions about scheduled events by retrieving relevant information from a vector database.

This project demonstrates the practical application of voice technology, natural language processing, and semantic search to create a seamless, accessible scheduling experience for Urdu-speaking users.

✨ Features

🎤 Voice Transcription

Records Urdu voice input through an intuitive interface
Leverages OpenAI's Whisper API for accurate transcription of Urdu speech
Supports various Urdu dialects and accents

📝 Task Extraction

Analyzes transcribed text using OpenAI's GPT-4o model
Intelligently extracts event details such as title, date, time, location, and participants
Handles relative time expressions in Urdu (e.g., "کل" for tomorrow, "اگلے ہفتے" for next week)
Ensures all events are scheduled for future dates

🤖 Chatbot Integration

Implements a Retrieval-Augmented Generation (RAG) architecture
Stores event data as BERT embeddings in Pinecone vector database
Enables semantic search for retrieving relevant calendar information
Answers natural language queries about scheduled events (e.g., "When is my meeting with Abdullah Arif?")
Provides contextual responses based on the user's calendar data

🔐 Authentication

Secure authentication using Google OAuth 2.0 via NextAuth.js
Protects user data and calendar access
Maintains persistent sessions with JWT tokens

📅 Calendar Integration

Seamless integration with Google Calendar API
View, create, edit, and delete calendar events
Multiple calendar views (day, week, month)
Real-time synchronization of events

🌐 Additional Features

Responsive Design: Optimized for mobile, tablet, and desktop
Timezone Management: Support for various timezones
Debug Tools: Real-time debugging information
RTL Support: Right-to-left layout for Urdu interface

🔧 Tech Stack

Frontend	Backend	AI & Data	Authentication
Next.js	Node.js	OpenAI Whisper	NextAuth.js
React	API Routes	GPT-4o	Google OAuth
Tailwind CSS	TypeScript	Pinecone	JWT
Radix UI	date-fns-tz	BERT Embeddings

🚀 Live Demo

Experience DORA at: https://dora-urdu-voice-scheduler.vercel.app/

📋 Installation

Prerequisites

Node.js (v16+)
pnpm package manager
Google Cloud Project with Calendar API enabled
OpenAI API Key for Whisper transcription and GPT models
Pinecone API Key for vector database

Setup Steps

Clone the repository

git clone https://github.com/abdullaharif381/dora-a3
cd dora-a3

Install dependencies
```
pnpm install
```

Configure environment variables

Create a .env.local file in the root directory:

GOOGLE_CLIENT_ID=your-google-client-id
GOOGLE_CLIENT_SECRET=your-google-client-secret
OPENAI_API_KEY=your-openai-api-key
NEXTAUTH_SECRET=your-nextauth-secret
NEXTAUTH_URL=http://localhost:3000

Development

# Start development server
pnpm dev

# Build for production
pnpm build

# Start production server
pnpm start

Access the application at http://localhost:3000

🔍 Usage

Sign in with your Google account
Record Voice - Click the "Record" button and speak in Urdu
Manage Events - Create, view, update or delete events
Review - Check the debug section for processing information

Voice Command Flow

graph LR
    A[Record Voice] --> B[Transcribe with Whisper API]
    B --> C[Process Command]
    C --> D[Create Google Calendar Event]
    D --> E[Confirm to User]

💡 Core Functionality

Voice Processing - Records Urdu speech and transcribes it via OpenAI Whisper API
Natural Language Understanding - Extracts event details from transcribed text
Calendar Management - Creates, updates, and deletes events in Google Calendar
Authentication - Secures user data with Google OAuth

👥 Contributing

Contributions are welcome! To contribute:

Fork the repository
Create a feature branch (git checkout -b feature/amazing-feature)
Commit your changes (git commit -m 'Add amazing feature')
Push to your branch (git push origin feature/amazing-feature)
Open a Pull Request

Please ensure your code follows the project's coding standards and includes tests where applicable.

🗺️ Roadmap

🤖 Chatbot Interface - Interactive scheduling experience
👥 Multi-User Support - Independent calendar management for teams
🔊 Enhanced Voice Recognition - Improved Urdu language processing
📱 Mobile App - Native iOS and Android applications
🌙 Dark Mode - Enhanced visual experience
🌐 Multi-Language Support - Extend beyond Urdu
📊 Analytics Dashboard - Insights into scheduled events
📴 Offline Support - Function without internet connection

DORA - Urdu Voice Scheduler 🎙️📅

An intelligent voice-powered scheduling assistant with natural language understanding in Urdu

Features • Demo • Installation • Usage • Contributing • License

🌟 Project Overview

DORA is an advanced web application that enables users to schedule calendar events using Urdu voice commands. Built with modern web technologies, DORA transcribes Urdu speech into text, extracts event details, and automatically schedules them in Google Calendar. The application also features a sophisticated RAG-based chatbot that can answer questions about scheduled events by retrieving relevant information from a vector database.

This project demonstrates the practical application of voice technology, natural language processing, and semantic search to create a seamless, accessible scheduling experience for Urdu-speaking users.

✨ Features

🎤 Voice Transcription

Records Urdu voice input through an intuitive interface
Leverages OpenAI's Whisper API for accurate transcription of Urdu speech
Supports various Urdu dialects and accents

📝 Task Extraction

Analyzes transcribed text using OpenAI's GPT-4o model
Intelligently extracts event details such as title, date, time, location, and participants
Handles relative time expressions in Urdu (e.g., "کل" for tomorrow, "اگلے ہفتے" for next week)
Ensures all events are scheduled for future dates

🤖 Chatbot Integration

Implements a Retrieval-Augmented Generation (RAG) architecture
Stores event data as BERT embeddings in Pinecone vector database
Enables semantic search for retrieving relevant calendar information
Answers natural language queries about scheduled events (e.g., "When is my meeting with Abdullah Arif?")
Provides contextual responses based on the user's calendar data

🔐 Authentication

Secure authentication using Google OAuth 2.0 via NextAuth.js
Protects user data and calendar access
Maintains persistent sessions with JWT tokens

📅 Calendar Integration

Seamless integration with Google Calendar API
View, create, edit, and delete calendar events
Multiple calendar views (day, week, month)
Real-time synchronization of events

🌐 Additional Features

Responsive Design: Optimized for mobile, tablet, and desktop
Timezone Management: Support for various timezones
Debug Tools: Real-time debugging information
RTL Support: Right-to-left layout for Urdu interface

🔧 Tech Stack

Frontend	Backend	AI & Data	Authentication
Next.js	Node.js	OpenAI Whisper	NextAuth.js
React	API Routes	GPT-4o	Google OAuth
Tailwind CSS	TypeScript	Pinecone	JWT
Radix UI	date-fns-tz	BERT Embeddings

🚀 Live Demo

Experience DORA at: https://dora-urdu-voice-scheduler.vercel.app/

📋 Installation

Prerequisites

Node.js (v16+)
pnpm package manager
Google Cloud Project with Calendar API enabled
OpenAI API Key for Whisper transcription and GPT models
Pinecone API Key for vector database

Setup Steps

Clone the repository

git clone https://github.com/abdullaharif381/dora-a3
cd dora-a3

Install dependencies
```
pnpm install
```

Configure environment variables

Create a .env.local file in the root directory:

GOOGLE_CLIENT_ID=your-google-client-id
GOOGLE_CLIENT_SECRET=your-google-client-secret
OPENAI_API_KEY=your-openai-api-key
NEXTAUTH_SECRET=your-nextauth-secret
NEXTAUTH_URL=http://localhost:3000

Development

# Start development server
pnpm dev

# Build for production
pnpm build

# Start production server
pnpm start

Access the application at http://localhost:3000

🔍 Usage

Sign in with your Google account
Record Voice - Click the "Record" button and speak in Urdu
Manage Events - Create, view, update or delete events
Review - Check the debug section for processing information

Voice Command Flow

graph LR
    A[Record Voice] --> B[Transcribe with Whisper API]
    B --> C[Process Command]
    C --> D[Create Google Calendar Event]
    D --> E[Confirm to User]

💡 Core Functionality

Voice Processing - Records Urdu speech and transcribes it via OpenAI Whisper API
Natural Language Understanding - Extracts event details from transcribed text
Calendar Management - Creates, updates, and deletes events in Google Calendar
Authentication - Secures user data with Google OAuth

👥 Contributing

Contributions are welcome! To contribute:

Fork the repository
Create a feature branch (git checkout -b feature/amazing-feature)
Commit your changes (git commit -m 'Add amazing feature')
Push to your branch (git push origin feature/amazing-feature)
Open a Pull Request

Please ensure your code follows the project's coding standards and includes tests where applicable.

🗺️ Roadmap

🤖 Chatbot Interface - Interactive scheduling experience
👥 Multi-User Support - Independent calendar management for teams
🔊 Enhanced Voice Recognition - Improved Urdu language processing
📱 Mobile App - Native iOS and Android applications
🌙 Dark Mode - Enhanced visual experience
🌐 Multi-Language Support - Extend beyond Urdu
📊 Analytics Dashboard - Insights into scheduled events
📴 Offline Support - Function without internet connection

DORA - Urdu Voice Scheduler 🎙️📅

An intelligent voice-powered scheduling assistant with natural language understanding in Urdu

Features • Demo • Installation • Usage • Contributing • License

🌟 Project Overview

DORA is an advanced web application that enables users to schedule calendar events using Urdu voice commands. Built with modern web technologies, DORA transcribes Urdu speech into text, extracts event details, and automatically schedules them in Google Calendar. The application also features a sophisticated RAG-based chatbot that can answer questions about scheduled events by retrieving relevant information from a vector database.

This project demonstrates the practical application of voice technology, natural language processing, and semantic search to create a seamless, accessible scheduling experience for Urdu-speaking users.

✨ Features

🎤 Voice Transcription

Records Urdu voice input through an intuitive interface
Leverages OpenAI's Whisper API for accurate transcription of Urdu speech
Supports various Urdu dialects and accents

📝 Task Extraction

Analyzes transcribed text using OpenAI's GPT-4o model
Intelligently extracts event details such as title, date, time, location, and participants
Handles relative time expressions in Urdu (e.g., "کل" for tomorrow, "اگلے ہفتے" for next week)
Ensures all events are scheduled for future dates

🤖 Chatbot Integration

Implements a Retrieval-Augmented Generation (RAG) architecture
Stores event data as BERT embeddings in Pinecone vector database
Enables semantic search for retrieving relevant calendar information
Answers natural language queries about scheduled events (e.g., "When is my meeting with Abdullah Arif?")
Provides contextual responses based on the user's calendar data

🔐 Authentication

Secure authentication using Google OAuth 2.0 via NextAuth.js
Protects user data and calendar access
Maintains persistent sessions with JWT tokens

📅 Calendar Integration

Seamless integration with Google Calendar API
View, create, edit, and delete calendar events
Multiple calendar views (day, week, month)
Real-time synchronization of events

🌐 Additional Features

Responsive Design: Optimized for mobile, tablet, and desktop
Timezone Management: Support for various timezones
Debug Tools: Real-time debugging information
RTL Support: Right-to-left layout for Urdu interface

🔧 Tech Stack

Frontend	Backend	AI & Data	Authentication
Next.js	Node.js	OpenAI Whisper	NextAuth.js
React	API Routes	GPT-4o	Google OAuth
Tailwind CSS	TypeScript	Pinecone	JWT
Radix UI	date-fns-tz	BERT Embeddings

🚀 Live Demo

Experience DORA at: https://dora-urdu-voice-scheduler.vercel.app/

📋 Installation

Prerequisites

Node.js (v16+)
pnpm package manager
Google Cloud Project with Calendar API enabled
OpenAI API Key for Whisper transcription and GPT models
Pinecone API Key for vector database

Setup Steps

Clone the repository

git clone https://github.com/abdullaharif381/dora-a3
cd dora-a3

Install dependencies
```
pnpm install
```

Configure environment variables

Create a .env.local file in the root directory:

GOOGLE_CLIENT_ID=your-google-client-id
GOOGLE_CLIENT_SECRET=your-google-client-secret
OPENAI_API_KEY=your-openai-api-key
NEXTAUTH_SECRET=your-nextauth-secret
NEXTAUTH_URL=http://localhost:3000

Development

# Start development server
pnpm dev

# Build for production
pnpm build

# Start production server
pnpm start

Access the application at http://localhost:3000

🔍 Usage

Sign in with your Google account
Record Voice - Click the "Record" button and speak in Urdu
Manage Events - Create, view, update or delete events
Review - Check the debug section for processing information

Voice Command Flow

graph LR
    A[Record Voice] --> B[Transcribe with Whisper API]
    B --> C[Process Command]
    C --> D[Create Google Calendar Event]
    D --> E[Confirm to User]

💡 Core Functionality

Voice Processing - Records Urdu speech and transcribes it via OpenAI Whisper API
Natural Language Understanding - Extracts event details from transcribed text
Calendar Management - Creates, updates, and deletes events in Google Calendar
Authentication - Secures user data with Google OAuth

👥 Contributing

Contributions are welcome! To contribute:

Fork the repository
Create a feature branch (git checkout -b feature/amazing-feature)
Commit your changes (git commit -m 'Add amazing feature')
Push to your branch (git push origin feature/amazing-feature)
Open a Pull Request

Please ensure your code follows the project's coding standards and includes tests where applicable.

🗺️ Roadmap

🤖 Chatbot Interface - Interactive scheduling experience
👥 Multi-User Support - Independent calendar management for teams
🔊 Enhanced Voice Recognition - Improved Urdu language processing
📱 Mobile App - Native iOS and Android applications
🌙 Dark Mode - Enhanced visual experience
🌐 Multi-Language Support - Extend beyond Urdu
📊 Analytics Dashboard - Insights into scheduled events
📴 Offline Support - Function without internet connection

DORA - Urdu Voice Scheduler 🎙️📅

An intelligent voice-powered scheduling assistant with natural language understanding in Urdu

Features • Demo • Installation • Usage • Contributing • License

🌟 Project Overview

DORA is an advanced web application that enables users to schedule calendar events using Urdu voice commands. Built with modern web technologies, DORA transcribes Urdu speech into text, extracts event details, and automatically schedules them in Google Calendar. The application also features a sophisticated RAG-based chatbot that can answer questions about scheduled events by retrieving relevant information from a vector database.

This project demonstrates the practical application of voice technology, natural language processing, and semantic search to create a seamless, accessible scheduling experience for Urdu-speaking users.

✨ Features

🎤 Voice Transcription

Records Urdu voice input through an intuitive interface
Leverages OpenAI's Whisper API for accurate transcription of Urdu speech
Supports various Urdu dialects and accents

📝 Task Extraction

Analyzes transcribed text using OpenAI's GPT-4o model
Intelligently extracts event details such as title, date, time, location, and participants
Handles relative time expressions in Urdu (e.g., "کل" for tomorrow, "اگلے ہفتے" for next week)
Ensures all events are scheduled for future dates

🤖 Chatbot Integration

Implements a Retrieval-Augmented Generation (RAG) architecture
Stores event data as BERT embeddings in Pinecone vector database
Enables semantic search for retrieving relevant calendar information
Answers natural language queries about scheduled events (e.g., "When is my meeting with Abdullah Arif?")
Provides contextual responses based on the user's calendar data

🔐 Authentication

Secure authentication using Google OAuth 2.0 via NextAuth.js
Protects user data and calendar access
Maintains persistent sessions with JWT tokens

📅 Calendar Integration

Seamless integration with Google Calendar API
View, create, edit, and delete calendar events
Multiple calendar views (day, week, month)
Real-time synchronization of events

🌐 Additional Features

Responsive Design: Optimized for mobile, tablet, and desktop
Timezone Management: Support for various timezones
Debug Tools: Real-time debugging information
**RTL Support

Name		Name	Last commit message	Last commit date
Latest commit History 9 Commits
app		app
components		components
hooks		hooks
lib		lib
public		public
styles		styles
.gitignore		.gitignore
LICENSE		LICENSE
README.md		README.md
components.json		components.json
next.config.mjs		next.config.mjs
package.json		package.json
pnpm-lock.yaml		pnpm-lock.yaml
postcss.config.mjs		postcss.config.mjs
tailwind.config.ts		tailwind.config.ts
tsconfig.json		tsconfig.json

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Latest commit

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DORA - Urdu Voice Scheduler 🎙️📅

🌟 Project Overview

✨ Features

🎤 Voice Transcription

📝 Task Extraction

🤖 Chatbot Integration

🔐 Authentication

📅 Calendar Integration

🌐 Additional Features

🔧 Tech Stack

🚀 Live Demo

📋 Installation

Prerequisites

Setup Steps

Development

🔍 Usage

Voice Command Flow

💡 Core Functionality

👥 Contributing

🗺️ Roadmap

DORA - Urdu Voice Scheduler 🎙️📅

🌟 Project Overview

✨ Features

🎤 Voice Transcription

📝 Task Extraction

🤖 Chatbot Integration

🔐 Authentication

📅 Calendar Integration

🌐 Additional Features

🔧 Tech Stack

🚀 Live Demo

📋 Installation

Prerequisites

Setup Steps

Development

🔍 Usage

Voice Command Flow

💡 Core Functionality

👥 Contributing

🗺️ Roadmap

DORA - Urdu Voice Scheduler 🎙️📅

🌟 Project Overview

✨ Features

🎤 Voice Transcription

📝 Task Extraction

🤖 Chatbot Integration

🔐 Authentication

📅 Calendar Integration

🌐 Additional Features

🔧 Tech Stack

🚀 Live Demo

📋 Installation

Prerequisites

Setup Steps

Development

🔍 Usage

Voice Command Flow

💡 Core Functionality

👥 Contributing

🗺️ Roadmap

DORA - Urdu Voice Scheduler 🎙️📅

🌟 Project Overview

✨ Features

🎤 Voice Transcription

📝 Task Extraction

🤖 Chatbot Integration

🔐 Authentication

📅 Calendar Integration

🌐 Additional Features

🔧 Tech Stack

🚀 Live Demo

📋 Installation

Prerequisites

Setup Steps

Development

🔍 Usage