Scrapnet: Blockchain & AI-Based Vehicle Scrapping System Developed a decentralized application (DApp) designed to bring transparency and automation to the vehicle scrapping industry. The system addresses fraud and data manipulation by recording vehicle lifecycles on an immutable ledger. Key Technical Features: Blockchain Core: Implemented Solidity smart contracts on the Ethereum network to securely store vehicle IDs, scrap requests, and ownership history, ensuring data cannot be tampered with. AI Integration: Integrated Machine Learning models (TensorFlow/Scikit-learn) to analyze vehicle data and predict scrap value or validate vehicle condition. Full-Stack Implementation: Built a robust web interface using Django (Python) for the backend and MySQL for off-chain data storage, communicating with the blockchain via Web3.py. Security: Ensured secure data handling and transaction verification through cryptographic principles.