Empowering road safety with AI-powered alcohol detection and real-time driver monitoring.
Texibition's Architect 2025 | Brainware University
SoberSense is an intelligent system designed to prevent drunk driving by combining alcohol detection sensors, facial recognition, and vehicle control. It ensures only a sober, verified driver can operate the vehicle, enhancing road safety for everyone.
Advanced sensors and machine learning for accurate alcohol detection and driver verification.
Automatic vehicle blocking and alert system to prevent accidents before they happen.
Easy to install, works with any vehicle, and designed for real-world reliability.
Prevents circumvention by storing and checking the blocked driver's face before unlocking.
Sends email notifications with location details to the owner/relative when alcohol is detected.
Acts as the central controller, interfacing with sensors and relays for vehicle control.
Detects alcohol vapor in the driver's breath and sends readings to the Arduino.
Displays system status, alcohol levels, and driver verification prompts.
Controls the ignition circuit, blocking or allowing the vehicle to start.
Allows a new driver to request verification and unlock the car if sober.
Handles facial recognition, serial communication, and alert emails.
Reads sensor data, controls relay, and communicates with the Python app.
Detects and encodes faces for driver verification and blocking.
Team Lead & Hardware Engineer
Software Developer
Hardware Developer
ML & AI Specialist
Documentation & UI Designer
Email: ranjan705b@gmail.com
University: Brainware University, West Bengal
Event: Texibition's Architect 2025