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Accidental_AI
Dexter0907/Accidental_AI
Accidental_AI is a machine learning model from Dexter0907. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
This is a Flask-based Machine Learning API hosted on Hugging Face Spaces using Docker. It predicts the likelihood or severity of road accidents based on input features.
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Public
Updated Apr 8, 2026
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366 KB
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.pkl731 KB · 100%
At a glance
- Access
- Public
- Created
- Apr 8, 2026
- Updated
- Apr 8, 2026
- SHA
- 5d842bff
Model card
From the Hugging Face model README
Road Accident Prediction API 🚗
This is a Flask-based Machine Learning API hosted on Hugging Face Spaces using Docker. It predicts the likelihood or severity of road accidents based on input features.
📂 Project Structure
- App.py: Main Flask application and API routes.
- road_accident_model.pkl: The trained predictive model (Random Forest/XGBoost etc).
- encoder.pkl: Pickle file for categorical data encoding.
- requirements.txt: Python dependencies (Flask, scikit-learn, pandas).
- Dockerfile: Container configuration to run the Flask server.
🚀 Setup and Installation
- Clone the repository:
git clone [https://huggingface.co/spaces/Dexter0907/Accidental_AI](https://huggingface.co/spaces/Dexter0907/Accidental_AI) cd Accidental_AI
- Created
- Apr 8, 2026
- Updated
- Apr 8, 2026