My Projects

Here's a comprehensive showcase of my projects that demonstrate expertise in full-stack development, data analysis, AI/ML, and software engineering. Each project represents a unique challenge and solution.

Rubik's Cube Solver

A human-like 3x3 Rubik's cube solver following CFOP speedcubing methodology, implemented in C++ with IDA* search optimization and pattern database heuristics. Achieves 65M+ nodes/second search speed.

C++ WebAssembly Three.js IDA*

ML model for Load Forecasting

ML-driven electricity load forecasting for smart urban development like GIFT City. Achieves 94.2% accuracy with specialized models for green field cities lacking historical data.

Python XGBoost Random Forest CEA API

E-commerce Price Tracker

Built a comprehensive price monitoring system using web scraping to track price changes across multiple e-commerce platforms, helping users make informed purchasing decisions.

Python Puppeteer MongoDB Next.js

Expense Tracker

Developed a full-stack MERN application for personal financial management with features like expense categorization, budget tracking, and interactive data visualizations.

MongoDB Express.js React.js Node.js

Walmart Sales Analysis

Performed comprehensive data analysis on Walmart sales data to identify trends, seasonal patterns, and performance metrics using advanced statistical techniques and visualizations.

Python Pandas Matplotlib PostgreSQL

AI Research Agent

Built an intelligent research assistant using LangChain that can automatically gather, analyze, and synthesize information from multiple sources to generate comprehensive research reports.

Python LangChain OpenAI API