Frontend Developer | AI Explorer | Coder
Tech Stack: Python • PyTorch • U-Net • Image Processing • Geospatial Visualization
- 🤖 Developed a U-Net-based machine learning pipeline to detect saplings and estimate survival rates from drone imagery
- 🗺️ Implemented geospatial visualization and parallel image analysis for scalable monitoring of afforestation efforts
- 🎯 Achieved accurate localization of dead saplings, contributing to environmental conservation initiatives
Tech Stack: React 19 • Node.js • Express.js • MongoDB • JWT • Cloudinary
- 🔐 Built a full-stack Hospital Management System using the MERN stack with JWT authentication & bcrypt password hashing
- 👥 Implemented Role-Based Access Control for secure login (Admin/Doctor/Patient)
- 🎨 Developed Patient Portal & Admin Dashboard with responsive UI/UX and smart appointment booking
- 🤖 Integrated AI chatbot for automatic department recommendations based on patient symptoms
- ☁️ Enabled Cloudinary image uploads, RESTful APIs, and real-time notifications using Notistack & Axios interceptors
Tech Stack: Python • Logistic Regression • Naive Bayes • scikit-learn • TF-IDF • LSTM • Flask
- 📱 Developed a collection of NLP projects: Spam SMS detection, Fake News classification, Movie Genre multi-label classification
- 💬 Built Sentiment Analysis for restaurant reviews and Stock Market Sentiment Analysis
- 🔧 Implemented end-to-end pipelines with text preprocessing, feature engineering (TF-IDF, embeddings)
- 🎯 Achieved high accuracy (up to 99%) using machine learning models (Naive Bayes, Random Forest, XGBoost, LSTM)
- 🚀 Deployed models using Flask/Streamlit for real-world applicability
Tech Stack: TypeScript • React-Vite • Tailwind CSS • Python • Flask • Google Gemini AI • Firebase • Pandas
- 🤝 Developed a full-stack platform connecting 50,000+ traditional Indian artisans with customers
- 🧠 Built React/TypeScript frontend and Flask REST API backend with RAG-based conversational AI
- 🌐 Implemented multi-language NLP (Hindi/English) with intent classification and entity extraction
- 🔥 Integrated Firebase Authentication, Firestore database, and Pandas for real-time data processing
- 📊 Developed analytics dashboard tracking 38 craft categories across 28 states with government ID verification
- ⚡ Impact: Reduced artisan discovery time by 80%; enabled zero-commission direct connections; processed complex queries with 90% accuracy
- 🔭 Building full-stack applications with MERN stack
- 🌱 Exploring advanced AI/ML techniques with PyTorch and TensorFlow
- 🤖 Implementing RAG-based conversational AI systems
- 💡 Contributing to open-source projects
- 📚 Learning advanced NLP and Computer Vision techniques
