Introducing AutoGenius: Your AI-Powered Car Valuation and Trading Assistant
Hey there, dev community! 👋 I'm excited to share a project I've been working on that combines the power of predictive models and LLMs with the world of automotive trading. Say hello to AutoGenius!
What is AutoGenius?
AutoGenius is a smart platform that leverages intelligent models build using mindsdb to predict pre-owned car prices and provide personalized trading tips. It's designed to make the process of buying or selling a used car smarter and more informed.
Key Features
- AI-Powered Price Prediction: Using MindsDB's Lightwood engine, AutoGenius predicts car prices based on various factors like fuel type, transmission, mileage, and more.
- Personalized Trading Tips: With a chatbot powered by Google's Gemini engine, users get tailored advice for buying or selling cars.
- User-Friendly Interface: A sleek React frontend makes inputting car details and getting predictions a breeze.
- Real-time AI Integration: FastAPI backend ensures quick and up-to-date predictions and advice.
- Docker Integration: Easy setup and management of the MindsDB environment.
Tech Stack
- Frontend: React
- Backend: FastAPI
- Database: MySQL
- Machine Learning: MindsDB (Lightwood engine for prediction, Google Gemini engine for chatbot)
- Containerization: Docker
Why I Built This
As a developer passionate about AI and its practical applications, I wanted to create a tool that brings the power of machine learning to everyday car traders. Whether you're a dealership looking to price your inventory accurately or an individual trying to get the best deal on your next car, AutoGenius is here to help!
The Development Journey
Building AutoGenius was an exciting challenge. Some key aspects of the development process included:
- Data Preprocessing: Cleaning and preparing a Kaggle dataset for training our prediction model.
- MindsDB Integration: Setting up and training models using MindsDB's powerful AI capabilities.
- Frontend Design: Creating an intuitive and responsive UI with React.
- Backend Architecture: Developing a robust FastAPI backend to handle requests and interact with MindsDB.
- Docker Implementation: Containerizing the MindsDB environment for easy deployment and scaling.
See It in Action
Want to see AutoGenius at work? Check out our demo video to get a feel for how it works!
Get Involved!
I'm thrilled to share this project with the community, and I'd love your support and feedback:
- Check out the repo: Visit our GitHub repository and star it if you like what you see!
- Vote for AutoGenius: We're participating in a project showcase! If you think AutoGenius is cool, please vote for us here. Voting deadline is July 16, 2024!
- Contribute: Feel free to fork the repo, open issues, or submit pull requests. Your contributions are always welcome!
What's Next for AutoGenius?
I'm constantly looking to improve and expand AutoGenius. Some ideas for future development include:
- Integrating more data sources for even more accurate predictions
- Adding features like image recognition for car valuation
- Developing a mobile app version
Wrap Up
AutoGenius is more than just a project—it's a step towards making AI accessible and useful in the automotive world. Whether you're a car enthusiast, a developer interested in AI, or just curious about the intersection of technology and everyday life, I hope you find AutoGenius interesting!
Remember to check out the GitHub repo, give it a star if you like it, and don't forget to vote !
Thanks for reading, and happy coding! 🚗💻🔧
Feel free to ask any questions or share your thoughts in the comments. I'm always excited to discuss tech and AI!
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