Developed a comprehensive health monitoring application with real-time monitoring, activity tracking, and nutrition logging. Integrated Arduino sensors to display live health metrics and implemented an AI-powered health assistant using OpenAI, Gemini, and Langchain.

Developed a chatbot application that allows users to interact with Amazon review data using natural language. The system scrapes Amazon reviews, converts natural language queries to SQL, and provides real-time query results. It features a Next.js frontend, FastAPI backend for database operations, and a Flask server for web scraping.

Developed an application that converts natural language input into SQL queries, executes them and display the results along with a summary of the results. It features a Next.js frontend with Tailwind CSS and Shadcn/UI components, and a FastAPI backend for database operations and OpenAI-powered text-to-SQL conversion. The system supports real-time query execution and result display, with options for both real and mock database connections.

Developed a Next.js website for scraping and presenting KCET counselling results. Features include quick access to 2023 and 2024 results, searching by rank, CET number, or college code, and a user-friendly interface for fast lookups. Utilizes Python playwright for web scraping, Supabase for data storage, and server-side rendering for improved performance.

Developed a secure chat system using Quantum Key Distribution (QKD) for cryptographic key generation and hybrid encryption with RSA and AES. Implemented real-time chat with WebSockets and simulated quantum key generation using FastAPI and Qiskit.

Developed an LSTM model for short-term load forecasting in power grids, predicting electricity demand 24 hours into the future. Implemented a Streamlit app for data visualization and achieved high accuracy with an RMSE less than 1%.

Created a web interface using Streamlit to predict thermodynamic properties of molecules using an Artificial Neural Network (ANN). Integrated Gemini Pro LLM for providing additional insights on predicted properties and compounds.