metadata

title: FipeFinder AI - Car Price Prediction
emoji: 🚗
colorFrom: blue
colorTo: green
sdk: gradio
sdk_version: 5.35.0
python_version: '3.11'
app_file: app.py
pinned: false

🚗 FipeFinder AI: Used Car Price Predictor

This is a Machine Learning application that predicts the selling price of used cars in the Brazilian market. Fill in the vehicle's features to get a price estimate generated by a fine-tuned Transformer model.

🛠️ How It Works

This application is powered by a Deep Learning regression model. The main components are:

Model: A BERTimbau (BERT for Portuguese) model was fine-tuned on a dataset of over 500,000 real car listings from Brazil.
Feature Engineering: The model was trained not just on raw data, but on engineered features like vehicle age, usage rate (km/year), and brand/model popularity.
Training: The model was trained using PyTorch with GPU acceleration (NVIDIA CUDA) to handle the large dataset efficiently.
Interface: The user interface is built with Gradio, allowing for easy and interactive predictions.

The complete data analysis, feature engineering, and model training process is documented in the project's main notebook.

View the full Training Notebook ---

🚀 Tech Stack

Machine Learning: PyTorch, Hugging Face Transformers, Scikit-learn
Data Handling: Pandas, NumPy
UI & Deployment: Gradio, Hugging Face Spaces