Hi, my name is Tanmay Machkar
I'm the Developer you're looking for.

A tool for detecting people's faces in images . Simply copy the link of the desired image and paste it into the search box!

Libraries used -> React.js, Node.js

Api Source -> ClarifyApi

A website created to showcase the fundamental workings of a basic blockchain. The implementation incorporates key concepts such as SHA-256, nonce, previous hashes, and more. Explore the site to gain a better understanding of these concepts and witness how they contribute to the functionality of a blockchain.

Libraries used -> React, Crypto

Experience the ultimate chatting Dapp (Decentralized App), meticulously built on the Ethereum Blockchain using Solidity. Immerse yourself in a world of seamless communication where you can create your account, invite friends, and indulge in endless conversations that will keep you engaged all day long! Rest assured, your data will remain secure on the blockchain, ensuring your privacy and security.

Libraries used -> Hardhat, Ethers, Web3Modal

Languages used -> Solidity, JavaScript, CSS

Framework used -> NextJS

Resources used -> Metamask, Vercel

Experience the ultimate crowdfunding Dapp (Decentralized App), meticulously built on the Ethereum Blockchain using Solidity. Create campaigns to raise ethers, donate to other campaigns, and join our vibrant community of supporters today! Start funding the future, one campaign at a time, and be a part of something revolutionary in the world of decentralized finance.

Libraries used -> Hardhat, Ethers, Web3Modal.

Languages used -> Solidity, JavaScript, CSS

Framework used -> NextJS

Resources used -> Metamask, Vercel

Experience the ultimate Token Staking Dapp (Decentralized App), meticulously built on the Ethereum Blockchain using Solidity. It uses blockchain technology that allows users to stake ERC-20 tokens, withdraw them, and earn reward tokens based on their staked amount. This secure and transparent platform incentivizes token holding and boosts user engagement, while enhancing the liquidity and utility of ERC-20 tokens.

Libraries used -> Hardhat, Ethers, Web3Modal, ghpages

Languages used -> Solidity, JavaScript, CSS

Framework used -> ReactJS

Resources used -> Metamask, ERC-20 Tokens

Developed a decentralized application (DApp) that uses blockchain technology to securely issue, store, verify, and validate academic certificates. The system integrates Ethereum smart contracts, IPFS for decentralized storage, and PBKDF2-SHA256 hashing for enhanced data security. Certificates can be verified by cross-referencing their hash with blockchain records, ensuring authenticity and eliminating the risk of forgery. Key stakeholders include government administrators, educational institutions, and independent verifiers, fostering trust and transparency. This tamper-proof framework significantly improves the efficiency and reliability of certificate issuance and validation processes.

Libraries used -> Hardhat, Ethers, Web3Modal, ghpages

Languages used -> Solidity, JavaScript, CSS

Framework used -> ReactJS

Resources used -> Metamask

This project is designed using linear regression to predict house prices based on various factors that influence the housing market. By analyzing data from the Boston housing dataset, it provides valuable insights into how features like location, property size, and neighborhood amenities affect house prices. The goal of the project is to help users estimate property values accurately and efficiently, whether for potential buyers, sellers, or investors. By leveraging data-driven predictions, it empowers users to make informed decisions in the dynamic real estate market.

Libraries used -> numpy, pandas, seaborn, matplotlib, pickle

Languages used -> Flask (Backend Server), JavaScript, CSS

Framework used -> ReactJS

o Resources used -> Jupyter Notebook, Render (Backend Deployment), Vercel (Frontend Deployment)

This project analyzes professional tennis matches to measure player speed, ball shot speed, and the number of shots exchanged. It detects players and the tennis ball using YOLO, and utilizes a ResNet-50-based model to extract court keypoints. This project provides a practical framework for real-time sports analytics by combining object detection, motion tracking, and court geometry estimation, making it suitable for building advanced video analysis tools in sports.

Libraries used -> numpy, pandas, matplotlib, PyTorch, Ultralytics, OpenCV

Languages used -> Python

Models used ->Yolov8, Fine tuned Yolov5, ResNet-50

o Resources used -> Jupyter Notebook, Google Colab, Roboflow Universe