| | --- |
| | 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 |
