Prototyping a Machine Learning Application with Streamlit, FastAPI, Hugging Face and Docker

Web app to predict knee osteoarthritis grade using Deep Learning and Streamlit

🔍 Flask-based web application for image classification. The application leverages the ResNet50 model from Keras to classify uploaded images.

AgroNomics is a machine learning web application that forecasts crop prices using historical agricultural data, seasonal trends, and region-specific variables. Built with Flask and scikit-learn, it provides nationwide coverage with state- and district-level insights, enabling farmers to make accurate, data-driven market decisions.

Interactive Streamlit app that predicts house prices using multiple machine learning models. Users can adjust real-world features via sliders, compare model performance, and explore feature impact through visual insights.

A ML application focused on EDA and basketball analytics, showcasing data visualization and insights using Python and relevant libraries.

A movie recommendation engine that recommends you movies based on their similarity to a movie that you've already watched and liked.

A simple mahcine learning application for stock prices, demonstrating data preprocessing, model training, and deployment using scikit-learn.

ML Web-App using Tensorflow and Django.

Comparative study of supervised machine learning architectures for multi-class medical classification using real-world clinical datasets.

AgroNomics is a machine learning web application that forecasts crop prices using historical agricultural data, seasonal trends, and region-specific variables. Built with Flask and scikit-learn, it provides nationwide coverage with state- and district-level insights, enabling farmers to make accurate, data-driven market decisions.

Flusk Tutorial is featuring a to Flask, a Python web framework. It may include basic or tutorials covering Flask fundamentals for Machine Learning.

This project predicts housing prices in Boston using machine learning techniques.

AI Powered Loan Approval Prediction System using Machine Learning & Streamlit

🏠 Built with machine learning, Dockerized for containerization, and automated with GitHub Actions for seamless CI/CD deployment with Render.

Streamlit-based machine learning app for house price prediction with automated model selection, tuning, and deployment-ready setup.

Web App to do Sentiment Analysis on the given text

🌸 A beginner-friendly Streamlit web app that predicts Iris flower species using a Random Forest classifier. Interactive, educational, and deployed on Streamlit Cloud.

Random Forest-based house price predictor with FastAPI backend and Next.js frontend.