🚗 Vehicle Telemetry Console using Raspberry Pi, ELM327 & Bluetooth

This project demonstrates how to read real-time vehicle telemetry like speed and RPM from a car’s OBD-II port using an ELM327 Bluetooth module and display it on a custom-built instrument console on Raspberry Pi.

✅ Originally built in 2019 as a hobby project
📈 Planned extension: stream data to Kafka for real-time anomaly detection using ML models

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📽️ Demo Video

👉 Watch the demo here
(Replace # with your YouTube or Vimeo link)

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📦 Project Structure

• obd_bt.py – Main script to interface with ELM327 over Bluetooth
• instrument_console.py – Displays real-time speed/RPM on Pi screen
• elm_commands.txt – Reference for OBD-II commands used

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🛠️ Technologies Used

• Raspberry Pi (Python 3)
• ELM327 OBD-II Bluetooth module
• Bluetooth serial communication
• Custom instrument UI using Python
• 🔜 Apache Kafka (planned)
• 🔜 Real-time anomaly detection via Spark ML (planned)

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🔧 Hardware Setup

1. Raspberry Pi (any model with Bluetooth)
2. ELM327 Bluetooth module
3. Vehicle with OBD-II port
4. Power supply + screen (HDMI or TFT display)

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🧭 System Architecture

✅ Implemented

• Raspberry Pi reads OBD data via ELM327 over Bluetooth
• Vehicle parameters (Speed, RPM) displayed as instrument console

🔜 Planned

• Kafka producer to stream telemetry
• Kafka + Spark for real-time anomaly detection
• Use ML to predict faults or abnormal vehicle behavior

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📌 Roadmap

• Fetch RPM and speed from OBD
• Build visual dashboard on Pi
• Stream data to Kafka
• Train anomaly detection model
• Deploy model for real-time detection

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🤖 Future Applications

• Predictive vehicle maintenance
• Fleet management insights
• Driver behavior analytics

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📂 Repository

GitHub: spsarolkar/Tesla