Things I’ve made trying to put my dent in the universe.

I’ve worked on tons of little projects over the years but these are the ones that I’m most proud of. Many of them are open-source, so if you see something that piques your interest, check out the code and contribute if you have ideas for how it can be improved.

  • AudioVibe.ai

    Audiovibe.ai is a sentiment analysis platform that detects emotional tone in audio using a Python-based machine learning model. I built the ReactJS frontend and integrated it with a Flask backend to process and display sentiment results in real-time. Users upload audio, receive instant feedback, and view emotional trends through a clean dashboard. The system supports live audio streams, batch uploads, and visual analytics for deeper emotional insights.

    github

  • E-Nirvachan

    E-Nirvachan is a decentralized voting app built to secure elections using blockchain. I worked on the blockchain layer using Solidity smart contracts, Web3.js, and Ethereum. The ReactJS frontend connects with Metamask for voter authentication and secure vote recording. Our team of four ensured tamper-proof voting through decentralized ledger validation and smart contract automation, making the system transparent and resistant to manipulation.

    github

  • PriceMate

    PriceMate is a machine learning-powered web app that predicts laptop prices based on specs like processor, RAM, storage, and brand. Built with Python, Flask, and HTML/CSS, it uses trained ML models to estimate prices. Users input laptop features via a simple interface and receive instant predictions. The tool helps buyers and sellers make informed decisions in the tech market by offering accurate price insights based on real-world data.

    github