TECHNICAL:

ELECTROTHON

24 HOURS HACKATHON

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+91 99440 44225

+91 99409 00503

STUDENT CO-ORDINATOR

+91 63740 05564

+91 87786 27498

Electrothon’26 Themes

1.AI enabled Wearable Health Diagnostics with temperature, Pressure, SPO2, Glucose and Fall Detection

2.Next-Gen Precision Agriculture for Soil Sensing, Smart Irrigation and Edge AI enabled Pest Monitoring

3.Integrated Smart City Automation for Adaptive Traffic Signals, Smart Street Lights and IoT Garbage Monitoring

4.Unified Smart Environment & Disaster Response Platform with IoT based Air, Water and Forest Fire Monitoring

5.intelligent Vehicle Safety and Incident Prevention for Driver Monitoring, Smart Helmets & Automotive Event Recording

6.Smart Autonomous Robotics for Industrial Mobility, Inventory Automation & Intelligent ML driven Robotic Arm

7.Transforming Modern Security for Autonomous Intruder Analysis, Smart Entry Management & Cyber Intrusion detection

8.Reimagining Human-Centered Wearable for Motion Intelligence, Posture Analytics and UV Awareness Systems

9.Revolutionizing Aerial Intelligence for Autonomous Patrol, Disaster Mapping & Real-time Crowd Monitoring

10.Harnessing Neural Signal for Smart Control, Mental State Insights and Emotion driven Human Machine Interaction

11.Innovating Sustainable Energy Harvesting Devices for Self-Powered Sensors, Wearable Devices and Smart Infrastructure

12.Reinventing Safety Tech with Autonomous Multi-Hazard Detection, Worker Protection & Intelligent Emergency Response Systems

DETAILED PROBLEM STATEMENTS:

Theme 1: AI enabled Wearable Health Diagnostics with temperature, Pressure SPO2, Glucose and Fall Detection

Problem Statements:

• Portable Vital Sign Monitor: Design a low-cost, portable embedded system capable of continuously measuring heart rate, SpO₂, and body temperature using compact biomedical sensors, and transmitting real-time alerts through suitable wireless technologies for rapid health intervention.
• Smart Fall Detection Wearable: Develop a light weighted wearable device that leverages accelerometer and gyroscope data to accurately detect fall events in elderly users and automatically trigger emergency SMS notifications with location details.
• Non-invasive Glucose Monitoring Prototype: Create a prototype for non‑invasive glucose monitoring using optical sensing techniques (PPG and IR). The system should estimate glucose level trends and provide early warnings for abnormal fluctuations.

Theme 2: Next-Gen Precision Agriculture for Soil Sensing, Smart Irrigation and Edge AI enabled Pest Monitoring

Problem Statements

• Soil Health Monitoring & Analytics System: Design and develop an embedded soil health assessment device capable of measuring key parameters like moisture, pH, NPK levels, and soil temperature in real time. The system should integrate with a digital dashboard to visualize trends and support data driven decision-making for precision agriculture.
• Intelligent Automated Irrigation System with Predictive Control: Create a smart irrigation solution that uses on field sensors combined with weather-API data to automatically regulate water supply. The system should predict irrigation needs, conserve water, and ensure optimal crop hydration with minimal human intervention.
• Edge-AI Based Pest and Insect Detection & Response Mechanism: Build an edge-AI powered pest and insect monitoring module using a low power vision system capable of detecting pests and insects on crops in real time. The solution must trigger automated deterrent or alert mechanisms to prevent crop damage and reduce reliance on manual surveillance.

Theme 3: Integrated Smart City Automation: Adaptive Traffic Signals, Smart Street Lights and IoT Garbage Monitoring

Problem Statements

• Adaptive Traffic Signal Optimization System: Design an intelligent traffic signal control system that utilizes IR or camera based vehicle detection to dynamically adjust signal timings in real time. The solution should reduce congestion, improve traffic flow efficiency, and operate reliably under varying urban conditions.
• Smart Energy‑Efficient Streetlight Management System: Develop an IoT‑enabled smart streetlight solution capable of automatic dimming and brightness control using pedestrian/vehicle presence sensing and ambient daylight detection. The system should significantly reduce energy consumption while ensuring adequate public lighting and safety.
• IoT-Based Smart Garbage Bin Monitoring & Alert System: Create a sensor integrated garbage bin monitoring system that uses ultrasonic detection and GPS tracking to identify fill levels and transmit alerts to municipal authorities. The solution should optimize waste collection routes, prevent overflow, and improve urban cleanliness.

Theme 4: Unified Smart Environment & Disaster Response Platform with IoT based Air, Water and Forest Fire Monitoring

Problem Statements

• Intelligent Air Quality Monitoring Station: Design a fully autonomous air quality monitoring unit capable of accurately measuring PM2.5, PM10, CO₂, CO, humidity, and temperature. The device should support continuous monitoring, local data processing, and seamless transmission to a central dashboard for environmental assessment and public‑health insights.
• .Real‑Time Smart Flood Alert & Water‑Level Monitoring System: Develop a robust IoT‑based water‑level monitoring system for rivers, lakes, and drainage channels that provides real‑time measurements and instant alerts during rising water levels. The solution should ensure early warning, high reliability under harsh weather conditions, and integration with disaster‑management platforms.
• Forest Fire Early Detection & Communication Node: Create a low‑power environmental sensing node capable of detecting early signs of forest fires using temperature, smoke, and gas sensors. The system must support long‑range communication (LoRa/LPWAN) for timely alerts to forestry authorities, enabling rapid response and minimizing ecological damage.

Theme 5: Intelligent Vehicle Safety and Incident Prevention: Driver Monitoring, Smart Helmets & Automotive Event Recording

Problem Statements

• Driver Drowsiness Detection System: Design an embedded in‑vehicle safety system capable of continuously monitoring the driver’s eye activity using IR-based blink detection or edge‑AI camera vision. The system must reliably identify drowsiness indicators such as prolonged eye closure, yawning frequency, or head-tilt patterns and trigger immediate visual, audio, or haptic alerts. It should operate in varying lighting conditions, consume low power, and support real-time edge inference without dependence on cloud connectivity.
• Smart Helmet for Rider Safety: Develop an intelligent helmet that ensures rider compliance and post-accident safety by detecting helmet‑wear status using sensors, identifying crash impacts through accelerometer/IMU thresholds, and automatically sending emergency SMS/GPS alerts. The system must be tamper resistant, lightweight, and capable of functioning even during network disruptions using fallback communication modes.
• Vehicle Black Box Event Recorder: Create an automotive event‑data recorder that captures and stores critical parameters such as vehicle speed, geographical location, brake pressure/force, tilt/impact levels, and time stamped sensor logs. The system must withstand crash conditions, provide secure data storage, and allow authorities to retrieve logs for post‑incident analysis.

Theme 6: Smart Autonomous Robotics for Industrial Mobility, Inventory Automation & Intelligent ML driven Robotic Arm

Problem Statements

• Line Following Industrial AGV: Build an Automated Guided Vehicle designed for industrial shop floors capable of tracking predefined paths using IR sensor arrays or LiDAR‑based navigation. The AGV must support obstacle detection, payload carrying, smooth acceleration/deceleration, and autonomous docking/charging for uninterrupted operation.
• Autonomous Warehouse Inventory Robot: Develop a mobile robotic unit that autonomously navigates warehouse aisles, scans barcodes/QR codes using onboard vision, updates inventory to a remote database in real time, and avoids obstacles. The robot must ensure accurate scanning under varying lighting, maintain stable wireless communication, and support automated task scheduling.
• Smart Robotic Arm with Gesture/ML Control: Create a multi‑degree‑of‑freedom robotic arm controlled through gesture‑recognition sensors (IMU/vision) or microcontroller‑based ML models. The system must execute precise pick‑and‑place operations, learn user movements, and include safety limits to prevent overreach or collisions.

Theme 7: Transforming Modern Security: Autonomous Intruder Analysis, Smart Entry Management & Cyber Intrusion detection

Problem Statements

• AI‑Powered Intruder Detection System: Design an embedded surveillance module with an onboard AI vision engine capable of detecting human intruders, suspicious movement, or boundary breaches in real time. The system must operate on low‑power hardware, avoid false positives from animals/objects, and send secure alerts with snapshots to a control center.
• Smart Access Control System: Develop a secure access management unit combining face recognition or RFID authentication with keypad/PIN backup. The system must handle spoof‑prevention, maintain encrypted logs of entry attempts, and support remote configuration for commercial or residential security setups.
• Embedded Cybersecurity Monitoring Node: Create a compact device for IoT networks that monitors packet behavior, identifies unusual traffic patterns, blocks unauthorized access attempts, and generates security alerts. It must run lightweight intrusion‑detection algorithms suited for resource‑constrained embedded systems.

Theme 8: Reimagining Human-Centered Wearable:  Motion Intelligence, Posture Analytics and UV Awareness Systems

Problem Statements

• Gesture‑Controlled Wearable Band: Build a wearable band using IMU sensors to detect hand and wrist gestures that can wirelessly control drones, robots, or consumer IoT devices. The system must ensure high gesture‑recognition accuracy, low latency, and comfortable long-duration wearability.
• Posture Correction Wearable: Design a compact wearable device that continuously monitors spinal alignment using IMU/posture sensors and vibrates to alert users when slouching or incorrect posture is detected. It should include posture‑trend analytics and maintain low power consumption.
• UV Exposure Monitoring Band: Develop a wristband equipped with UV sensors that tracks cumulative and real-time ultraviolet exposure, alerts users when thresholds exceed safe limits, and offers personalized sun‑safety recommendations.

Theme 9: Revolutionizing Aerial Intelligence: Autonomous Patrol, Disaster Mapping & Real-time Crowd Monitoring

Problem Statements

• Autonomous Intruder Detection Drone: Create a fully autonomous drone equipped with an embedded AI module capable of detecting human/vehicle activity over restricted areas without cloud processing. It must support autonomous takeoff, patrol, real‑time inference, GPS‑based navigation, and secure alert transmission.
• Disaster Response Mapping Drone: Develop a drone integrated with edge‑AI object detection models to identify fire, smoke plumes, waterlogged areas, or structural damage. The drone must generate geo‑tagged imagery/maps in real time to support disaster‑response teams.
• AI‑Powered Perimeter Patrol Drone: Build a drone programmed to follow fixed patrol routes while scanning for anomalies such as intrusions, discarded objects, broken fences, or open gates using onboard computer vision. It should communicate abnormalities instantly to ground units.
• Crowd Density Monitoring Drone: Design a drone capable of estimating crowd density in public events using onboard people‑counting AI models. It must provide heatmaps, real‑time analytics, and maintain flight stability in varying weather conditions.

Theme 10: Harnessing Neural Signal: Smart Control, Mental State Insights and Emotion driven Human Machine Interaction

Problem Statements

• EEG‑Controlled Assistive Device: Develop a BCI prototype that acquires EEG signals using low‑noise sensors and interprets specific mental commands to control a wheelchair, robotic arm, or computer cursor. The system must include robust signal filtering and real‑time command execution.
• Focus/Stress Detection Headband: Create a wearable headband that measures alpha and beta EEG activity to estimate stress or focus levels. It should provide user feedback via LEDs, haptics, or a mobile dashboard, with high noise suppression for motion artifacts.
• BCI‑Based Smart Home Controller: Build a BCI system that allows users to operate home appliances using EEG-based mental commands or blink patterns. The system must ensure high detection accuracy, fail‑safe mechanisms, and wireless appliance integration.
• EEG‑Based Emotion Recognition Device: Design a portable EEG device capable of classifying basic emotional states—relaxed, alert, stressed—using machine‑learning models. The prototype must visualize emotional trends in a user-friendly interface.

Theme 11: Innovating Sustainable Energy Harvesting Devices: Self-Powered Sensors, Wearables and Smart Infrastructure

Problem Statements

• Self‑Powered Environmental Sensor Node: Develop an ultra‑low‑power environmental sensing node powered solely through energy harvesting (solar, vibration, thermal). The node must store harvested energy efficiently and transmit periodic sensor data wirelessly.
• Footstep Energy‑Harvesting Tile: Create a piezoelectric floor tile capable of generating usable electrical energy from footsteps to power LEDs or small BLE beacons, with real-time energy output and durability under heavy foot traffic.
• Wearable Motion‑Energy Harvester: Build a wearable device that harvests kinetic energy from wrist or ankle motion to power low-energy sensors. It must be lightweight, ergonomic, and provide stable charging output.
• Hybrid Solar + Piezo Smart Streetlight: Design a miniature streetlight prototype combining solar and piezoelectric harvesting, capable of intelligent energy management and autonomous lighting based on ambient conditions.

Theme 12: Reinventing Safety Tech with Autonomous Multi-Hazard Detection, Worker Protection & Intelligent Emergency Response Systems

Problem Statements

• Multi‑Hazard Early Warning Node: Develop a low‑power environmental monitoring system capable of detecting smoke, gas leaks, rapid temperature rise, or abnormal vibrations. It must communicate alerts via LoRa/Bluetooth to a central hub and operate reliably in harsh conditions.
• Smart Fire Detection & Micro‑Suppression Unit: Create an autonomous fire‑detection system using flame sensors and thermal imaging that activates localized suppression modules (water/CO₂ spray). It should analyze heat signatures to reduce false alarms.
• Earthquake Micro‑Detection Device: Design an embedded device with high‑precision accelerometers/IMUs to detect micro‑tremors as early indicators of earthquakes and broadcast rapid warnings to safety nodes.
• Industrial Worker Safety Wearable: Develop a wearable device that tracks worker vitals (heart rate, body temperature), toxic gas exposure, movement, and location. It must issue alerts upon threshold breaches or emergencies.
• Building Emergency Evacuation Assistant: Build an embedded emergency guidance system that activates during fire or seismic events, using intelligent LED path indicators and audio alerts triggered by sensor inputs.
• Smart Gas Leak Detection & Auto‑Shutdown System: Create a system that detects LPG/CO leaks, triggers alarms, sends mobile notifications, and automatically closes a solenoid valve to prevent accidents. It must ensure rapid, reliable actuation and built‑in safety redundancies.

• Do’s

  ✔ Form a team with 4 members as per guidelines.

  ✔ Choose a problem aligned with Technology for Education & Social Impact.

  ✔ Register your problem statement before starting development.

  ✔ Develop the solution only during the 24-hour hackathon.

  ✔ Use open-source tools/APIs with proper acknowledgment.

  ✔ Collaborate, respect teammates, and maintain professional behavior.
  Take guidance from mentors whenever needed.

  ✔ Submit all required deliverables:

  Working prototype

  Source code

  Project abstract

  Presentation (PPT/PDF)

  (Optional) Demo video / deployment link

  ✔ Ensure your solution is innovative, feasible, and impactful.

  ✔ Follow instructions from organizers, mentors, and volunteers.

  Don’ts

  ✖ Don’t be part of more than one team.

  ✖ Don’t use pre-built / previously developed projects.

  ✖ Don’t change the problem statement without informing organizers.

  ✖ Don’t copy code or ideas — plagiarism leads to disqualification.

  ✖ Don’t engage in misconduct, harassment, or disruptive behavior.

  ✖ Don’t work outside the allowed hackathon duration.

  ✖ Don’t submit incomplete deliverables.

  ✖ Don’t violate event rules — organizers’ decision is final and binding.