A real-time memory monitoring and analysis dashboard using POSIX system calls. Features include memory fragmentation analysis, page fault tracking, memory pressure monitoring, and interactive timeline visualization of memory usage patterns.

An interactive web application for visualizing data structures and algorithms with step-by-step animations. Includes visualizations for linked lists, stacks, queues, trees, and heaps, along with practical applications like expression conversion and polynomial multiplication.

An AI-powered learning platform that transforms study materials into interactive content. Features include PDF to podcast conversion with multiple AI voices, automated quiz generation, document summarization and an AI Voice assistant for personalized learning assistance.

A comprehensive health monitoring application with real-time monitoring, activity tracking, and nutrition logging. Features Arduino sensor integration for live health metrics, RAG-powered health insights using Langchain, and multimodal AI assistants powered by Gemini 2.0 and OpenAI.

A chatbot application for interacting with Amazon review data using natural language. The system scrapes Amazon reviews, converts natural language queries to SQL, and provides real-time query results with a Next.js frontend and FastAPI backend.

An application that converts natural language input into SQL queries, executes them and displays the results with summaries. Features a Next.js frontend with Tailwind CSS and a FastAPI backend for database operations and OpenAI-powered text-to-SQL conversion.

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%.

A web interface for predicting thermodynamic properties of molecules using an Artificial Neural Network (ANN). Features Gemini API integration for providing additional insights on predicted properties and compounds.