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 evaluates the emotional tone of audio content using a Python-based machine learning model. I am primarily responsible for developing both the ReactJS frontend and integrating the Flask backend to seamlessly process and display sentiment analysis results in real-time. (Team of 4)

    github

  • AE-Nirvachan

    E-Nirvachan is a decentralized Application build to secure the voting system using Blockchain Interaction and Smart Contract- Solidity, Web3 and front-end of the application has ReactJS, Metamask, Ethereum Blockchain Programming. I have worked on the Blockchain part of

    github

  • PriceMate

    PriceMate is a machine learning-powered web application that predicts laptop prices based on various specifications such as processor, RAM, storage, and brand. Built using Python, Flask, and HTML/CSS, it leverages trained machine learning models to provide accurate price estimations. The intuitive web interface allows users to input laptop features and instantly get a predicted price, making it useful for buyers and sellers in the tech market.

    github

  • ShopSphere (In-progress)

    An AI-powered E-commerce platform

    github.com