Car Price Prediction Web App using FastAPI & Machine Learning

🔥 Build AI-powered Car Price Prediction Web App using 𝗙𝗮𝘀𝘁𝗔𝗣𝗜, 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴, and a 𝗺𝗼𝗱𝗲𝗿𝗻 𝗛𝗧𝗠𝗟 + 𝗖𝗦𝗦 𝗨𝗜! In this project, I trained different models on a used car dataset where the target price was log-transformed using `np.log1p()`. Then I built a FastAPI backend that loads the trained model (`.pkl`) and predicts the car price in real-time. 🎯 Key Features:   • Trained ML pipeline (preprocessing + model)   • FastAPI backend with `/predict` endpoint   • Log-transformed price handling with `np.expm1()`   • Responsive and colorful UI with dropdowns   • Real-time price prediction in PKR 💰 📦 Tech Stack:   • Python   • Pandas, scikit-learn   • FastAPI   • Jinja2, HTML5, CSS3 💡 Perfect for ML portfolios, job demos, or deploying as a microservice. 👉 Like | 💬 Comment | 🔔 Subscribe for more ML and AI projects! #MachineLearning #FastAPI #PythonProject #CarPricePrediction #AI #WebApp #DataScience #PortfolioProject