BimaRakshak AI: AI-Driven Motor Insurance Risk Assessment 🚗💡

Revolutionizing Road Safety & Insurance with AI

In today’s world, insurance premiums are often based on demographics rather than real driving behavior, leading to unfair pricing and ineffective risk assessment. BimaRakshak AI is an AI-driven motor insurance risk assessment platform that leverages real-time driving data, AI-powered insights, and risk evaluation to enhance road safety and enable fair insurance policies. It creates a win-win scenario for both drivers and insurers by promoting safer driving habits and smarter insurance policies.

🎯 Key Features

1. User Authentication (Firebase) - Secure login and registration system.
2. AI-Based Risk Assessment - Monitors driving behavior, including acceleration, braking, and speeding.
3. Accident-Prone Zone Detection - Identifies high-risk areas and alerts drivers.
4. Insurance Premium Optimization - Adjusts premium pricing based on real-time driving scores.
5. Gemini AI Chat Assistant - Provides driving safety tips and policy recommendations.
6. User Feedback & Report Generation - Gathers user insights for continuous system improvements.
7. Real-time Tracking APIs - Uses GPS & IoT to collect accurate driving data.

🛠 Technologies Used

• Frontend: Flutter (Dart) - Cross-platform UI development.
• Backend: Django (Python) - API handling and business logic.
• Database: Firestore - Secure and scalable data storage.
• Authentication: Firebase - User login and authentication.
• AI & ML: Google Gemini API - AI-driven recommendations and insights.
• Real-Time Tracking: GPS & IoT APIs - Captures real-world driving behavior.
• Deployment: Firebase (Frontend), Render (Backend).
• Development Platform: Built using Google Cloud IDX for cloud-based collaboration.

📌 Setup Instructions

1. Clone the Repository:

   git clone https://github.com/supriya46788/Driving-Safer-Roads---AI-for-Motor-Insurance-Risk-Assessment.git
   cd Driving-Safer-Roads---AI-for-Motor-Insurance-Risk-Assessment

2. Install Dependencies:
   • Backend (Django)

     pip install -r requirements.txt
     python manage.py migrate

   • Frontend (Flutter)

     flutter pub get
     flutter run

3. Configure Firebase Authentication (Follow Firebase setup guide).
4. Deploy the Project:
   • Frontend: Firebase Hosting
   • Backend: Render

📌 Future Enhancements

• Integration with telematics-based insurance models.
• More AI-driven insights for drivers and insurance companies.
• Expansion to fleet management and corporate vehicle risk assessment.

📝 License

This project is licensed under the MIT License.
You are free to use, modify, and distribute this software with proper attribution.