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Announcement 🎉

The best hardware hackathons don't produce prototypes. They produce answers. After 72 hours of continuous building, the winning team delivered exactly that — a technically strong, thoughtfully designed solution with a clear place in the real world. We're proud of every team that shipped. 🚀

🏆 1st Prize – Team 4​



Project: OpenFPT: An Open-Source Dual-Arm Flying Probe Tester for Automated PCB Electrical Evaluation with AI-Assisted Test Plan Generation and Fault Diagnosis

TEAM MEMBERS:

  • Mithilesh
  • Jishnu
  • Abhiram

Creativity: OpenFPT is a dual-arm robotic probing platform designed for automated PCB electrical evaluation. The system employs two planar 2-DOF robotic arms based on 5-bar parallel linkage mechanisms, controlled by an ESP32-C6 microcontroller. Each arm positions a metallic probe over target test points on a PCB board. After positioning, dedicated probe actuation servos lower the probes to make physical contact with the board, and the system performs electrical measurements including continuity testing, isolation checks, and signal path verification. The platform integrates an AI-powered host software stack that automatically generates test plans from KiCad design files and provides LLM-based fault diagnosis from measurement results.

Presentation & Documentation: Download file

🥈 2nd Prize – Team 23​



Project: Nitroasis – AI and IoT Based Smart Farming System with Aquaponics Inspired Nutrient Recycling

TEAM MEMBERS:

  • Arunkanna S
  • Gokul S
  • Akash A

Creativity: Nitroasis is an IoT-based smart farming system designed to monitor agricultural conditions and improve crop productivity. The system uses ESP32 microcontrollers connected to multiple sensors that measure parameters such as temperature, humidity, soil moisture, rainfall, NPK nutrients, water level, and smoke detection.

Presentation & Documentation: Download PDF

🥉 3rd Prize – Team 16​



Project: AI-Based Smart Monitoring System with Self-Healing through Fault Isolation and Load Control

TEAM MEMBERS:

  • Ananya M Murthy
  • Deeksha Ramappa Gani
  • Shriya S
  • Varsha TM

Creativity: This project develops an intelligent real-time monitoring and fault detection system using sensors, machine learning, and digital twin technology. It continuously analyzes parameters like temperature, vibration, and voltage, compares them with normal operating conditions, and detects abnormalities using KNN and Edge Impulse models. Based on detected faults, the system triggers alerts and load control through relays, while a web dashboard provides live system status and performance monitoring.

Presentation & Documentation: Download file

🏅 Top 4 – Team 22​



Project: TinyML-Powered Edge AI Hand Band for Sudden Fall Detection

TEAM MEMBERS:

  • Shama AJ
  • Sheethal R Bangera
  • Srujan
  • Sushanth

Creativity: TinyML Fall Guard is a smart hand band designed for safety monitoring. It continuously tracks hand movement using the MPU6050 motion sensor. The collected data is processed by an ESP32 controller running a TinyML model.

When sudden abnormal movement is detected, the system identifies it as a possible fall. Instead of sending an alert immediately, the system waits for a short period to check whether the person resumes normal movement. If normal movement is detected, the system considers the user safe and turns on the green LED. If no recovery movement is observed, the system enters danger mode. In danger mode, the red LED and buzzer are activated. The T5848 microphone is turned on to further confirm whether the user is in distress. After confirmation, an emergency alert is sent through Wi-Fi. A push button is also provided so the user can manually request help at any time.

Presentation & Documentation: Download file