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---
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]([#](https://colab.research.google.com/drive/1ZyobI02zJu86NTjUZ043ACGBJn3S3Wuy?usp=sharing))** ---
## 🚀 Tech Stack
* **Machine Learning:** PyTorch, Hugging Face Transformers, Scikit-learn
* **Data Handling:** Pandas, NumPy
* **UI & Deployment:** Gradio, Hugging Face Spaces |