Team MotorCoderrrs | EY Techathon 6.0 Submission
AutoPulse AI is an intelligent ecosystem that transforms vehicle maintenance from reactive to proactive. By leveraging Agentic AI, we enable vehicles to "think" and "act"—predicting mechanical failures before they happen, autonomously scheduling repairs with service centers, and providing critical Root Cause Analysis (RCA) data back to manufacturers to fix design defects.
The current automotive maintenance lifecycle is broken:
- Vehicle Owners face unexpected breakdowns and safety hazards.
- Service Centers suffer from inefficient manual scheduling and uneven workload.
- OEMs (Manufacturers) lack real-time field data to identify and fix recurring design flaws.
AutoPulse AI bridges these gaps using a multi-agent orchestration layer:
Predictive Alerts: Real-time warnings for "Engine Overheating" or "Battery Failure" before breakdown occurs. Agentic Assistance: A Voice/Chat bot that answers queries ("What should I do?") and handles logistics. One-Click Booking: Autonomous negotiation with service centers for the best available slot.
Autonomous Inflow: Bookings appear automatically with pre-diagnosed issues. Parts Prediction: Inventory is allocated before the vehicle arrives, reducing turnaround time.
Closed-Loop Feedback: Field failure data is aggregated to identify recurring defects. Automated CAPA: The system generates Corrective Action/Preventive Action reports for R&D teams.
Prototype (Current Submission):
- Language: Python 3.10
- Frontend/UI: Streamlit (Simulating Mobile, Web, and Analytics Dashboards)
- Visualization: Plotly & Pandas
Proposed Architecture (Full Scale): AI Framework: LangGraph / CrewAI (for multi-agent orchestration). ML Models: LSTM & Isolation Forest (for anomaly detection). Backend: FastAPI & PostgreSQL.
- Python 3.10 or higher installed.
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Clone the repository:
git clone https://github.com/quantumcoderrr/autopulse.git cd autopulse -
Install dependencies:
pip install -r requirements.txt
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Run the application:
streamlit run autopulse_app.py
| Name | Role | College |
|---|---|---|
| Sandip Ghosh | System Architect & AI/ML Integration | St. Thomas' College of Engineering & Technology |
| Sandhita Poddar | UI/UX & Frontend Developer | St. Thomas' College of Engineering & Technology |
| Abhirup Raha | Backend & Data Integration | St. Thomas' College of Engineering & Technology |