| --- |
| title: Api Transpetro Hackathon |
| emoji: 🏆 |
| colorFrom: yellow |
| colorTo: blue |
| sdk: docker |
| pinned: false |
| license: mit |
| short_description: API for predicting naval biofouling. |
| --- |
| Artificial Intelligence API for predicting naval biofouling, performance loss, |
| and financial risk in real-time. Developed based on naval physics, fuel chemistry, |
| and machine learning models (Random Forest + XGBoost). |
|
|
| The API is running in production on Hugging Face Spaces. |
|
|
| - Base Endpoint: https://carpenterbb-api-transpetro-hackathon.hf.space |
| - Interactive Documentation (Swagger): https://carpenterbb-api-transpetro-hackathon.hf.space/docs |
|
|
| - All requests must include the following: access_token = hackathon_transpetro_2025 |
| |
| 🔮 Prediction Route |
| - POST /predict |
| |
| Author: |
| - Gabrielly Gomes (Machine Learning Engineer) |
| |
| Attention: |
| This model was developed for Transpetro(Petrobras) Hackathon. |
| |
| My team: |
| - Gabrielly Gomes - ML Engineer |
| - Patrick Passos - Developer (full stack) |
| - Lucas Fernandes - Designer/Business |
