A web-based application that predicts the selling price of used cars based on key features like year, mileage, engine capacity, and more. 🔑 Key Features: 🌟 User-Friendly Interface: Powered by Streamlit, making it easy to input car details and get predictions. ⚡ FastAPI Backend: A robust backend built to handle predictions with speed and reliability. 📈 Machine Learning Model: Utilizes a Gradient Boosting Regressor for accurate price predictions. 💡 Technologies Used: Frontend: Streamlit Backend: FastAPI Machine Learning: Scikit-learn Deployment: Uvicorn (local) 🌟 What You’ll See in This Video: A demo of the app in action: Input car details, click predict, and get the selling price instantly. A sleek and styled interface that enhances the user experience. 🚀 Future Plans: Adding a database to store predictions. Deploying the app online for global access. Training the model with more data for better accuracy.