Inspiration
Inspired by Formula E, drone racing, and IoT-based automation—aimed to create a low-cost simulator that blends real-time motion, electronics, and data analytics for mobility systems.
What it does
Simulates multiple vehicles on a mini track, tracks their speed and laps via sensors, and displays a live leaderboard using IoT communication between ESP32 nodes and a Python dashboard.
How we built it
Used ESP32 microcontrollers, L298N motor drivers, DC motors, and IR sensors. Programmed in Arduino IDE and connected via Wi-Fi to a Flask dashboard for live data visualization and race analytics.
Challenges we ran into
Data delay during Wi-Fi communication, unstable sensor readings on fast turns, and power management for multiple nodes running simultaneously.
Accomplishments that we're proud of
Achieved stable IoT data transfer, real-time leaderboard visualization, and low-cost mobility simulation integrating mechanical, electronics, and coding disciplines.
What we learned
Gained hands-on experience in IoT networking, control systems, and sensor integration while understanding synchronization between physical systems and digital dashboards.
What's next for Smart IoT Mobility Race Simulator
Add AI-based race prediction, energy-efficiency analytics, and cloud integration for remote monitoring and competition hosting.
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