I’m Avnish Agrawal, a passionate engineering student specializing in Python, currently exploring API integrations, GUI development, and web development. I love building user-centric applications that solve real-world problems and continuously learning new technologies.
| Languages | |
|---|---|
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Python |
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Java |
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SQL |
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C++ |
| Frameworks & Libraries | |
|---|---|
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Flask |
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Keras |
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Streamlit |
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Tkinter |
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CustomTkinter |
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BeautifulSoup |
| Tools | |
|---|---|
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Git |
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GitHub Actions |
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OpenWeatherMap |
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Visual Studio Code |
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PyCharm |
| AI & Platforms | |
|---|---|
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n8n |
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Google Antigravity |
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Cursor |
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Kiro |
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Gemini CLI |
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Claude Code |
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Emergent |
| Google FireBase Studio | |
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Google Stitch |
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Google Whisk |
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Google Flow |
A modern, full-stack expense sharing application built with Next.js, TypeScript, and Supabase. Perfect for splitting bills with friends, roommates, or travel companions.
Stock Trend Prediction App is a Streamlit-powered web interface that utilizes a pre-trained LSTM model to forecast stock closing prices. It provides interactive data visualizations, moving average analysis, and future trend predictions based on historical time-series data fetched from Alpha Vantage.
A machine learning-powered web app to predict diseases from symptoms using machine learning. Fast, user-friendly, and explainable—built with Python and Streamlit to empower users with personalized health insights and recommendations.
A Flask web app that detects crop diseases from leaf images using a convolutional neural network trained on the PlantVillage dataset. Built with Keras, OpenCV & Flask, it lets users upload photos and get real-time predictions.
