Yantravedh '26 – Hardware Hackathon

Department of Artificial Intelligence & Data Science

Presents

Yantravedh '26

Build the future

A 24 hour offline hardware hackathon. 28 & 29 October, real components.

System timer

Registration opens in

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System // 01 Sync
  • Max 4members per team
  • 24 hoursof building
  • ₹75kprize pool
  • MMCOE, Punevenue

Why build with us

Real hardware, real problems

Not another slide-deck hackathon.

Open to everyone

Any branch, any college, beginners welcome.

Find your tribe

Surround yourself with builders who think like you — share ideas, spark collaborations, and grow together.

Certificates and prizes

A certificate for every participant, and ₹25k in prizes for each track.

Tracks

Three tracks to build in this year. Open to students from any branch and any college — beginners welcome. Click any track to view full details.

Smart & Sustainable Solutions

Agritech, healthcare, smart city & clean energy.

₹25k prize Click Here →

Robo AI

Robotics, automation, computer vision & edge AI.

₹25k prize Click Here →

Industry 4.0

IIoT, smart manufacturing, telemetry & cyber-physical systems.

₹25k prize Click Here →

How you'll be judged

Innovation

Feasibility

Working prototype

Presentation

TimelineThe Yantraveda build

    Prizes

    ₹75k

    Total prize pool across all three tracks — ₹25k for each track.

    ₹25k
    Track 01Smart & Sustainable Solutions
    ₹25k
    Track 02Robo AI
    ₹25k
    Track 03Industry 4.0

    Second place

    First place

    Third place

    LOCATE US

    Find The Venue

    24 hours of building happens on real ground. Here's exactly where to show up on 28 & 29 October.

    MMCOE, Karvenagar

    Department of AI & Data Science

    Address

    Marathwada Mitra Mandal's College of Engineering (MMCOE), Karvenagar, Pune-52, Maharashtra

    Reporting time

    Gates open early on 28 October — arrive with your team and college ID for check-in.

    Landmark

    Behind Vandevi Temple, Hingane Home Colony — a familiar stop for local cabs and autos.

    Get Directions

    Questions

    Who can participate?

    Any student, from any branch and any college, can join.

    Do I need a team?

    Team size is up to 4 members. Form your team before registering — reach out to fellow students in your college or network to find like-minded builders.

    Can beginners join?

    Yes — this hackathon is open to all skill levels. No prior experience is required; just bring your curiosity and willingness to learn.

    Is WiFi and power available?

    Yes, both will be provided at the venue.

    What should I bring?

    A laptop, chargers, your tools and a valid college ID.

    Do teams need to arrange their own hardware?

    Yes — teams are responsible for sourcing and bringing all hardware components required for their project. The venue provides workspace, power, and WiFi, but no hardware components will be supplied by the organizers.

    Our communities

    NEURA logo

    Neura

    Collaborate Innovate Elevate

    AESA logo

    AESA

    Fostering Innovate

    CYPHER, Department of AI-DS logo

    Cypher

    Decode. Defend. Dominate.

    IEEE Computational Intelligence Society logo

    IEEE CIS

    Student Branch Chapter, MMCOE

    Track 01

    Smart & Sustainable Solutions

    Building hardware to improve resource efficiency, environmental monitoring, agriculture, and public healthcare.

    Track prize: ₹25k

    Focus Areas

    Click or hover over any focus area card to see suggested project ideas and components.

    Agritech & Precision Farming

    Automated irrigation, soil health telemetry, and smart greenhouse controls.

    Ideas: Automated drip irrigation based on soil moisture and ambient humidity, solar-powered pest detection nodes.

    Hardware Stack: ESP32, Capacitive Soil Sensors, NPK Sensors, LoRaWAN, Solenoid Valves.
    Explore details ↓

    Healthcare & Assistive Tech

    Non-invasive diagnostics, low-cost patient monitoring, and mobility aids.

    Ideas: Portable pulse-oximetry and ECG monitoring units for rural clinics, haptic navigation canes for visually impaired individuals.

    Hardware Stack: MAX30102, AD8232 ECG, Haptic Motors, Arduino/Raspberry Pi, Bluetooth LE.
    Explore details ↓

    Smart Cities & Clean Energy

    Waste management automation, energy auditing, and water quality telemetry.

    Ideas: Smart bin fill-level monitoring with routing notification, continuous water pH/turbidity monitoring networks.

    Hardware Stack: Ultrasonic Sensors, pH Probe, Turbidity Sensor, Current Transformers, GSM Modules.
    Explore details ↓

    Recommended Hardware

    • Microcontrollers (ESP32, STM32, Arduino)
    • Environmental Sensors (Temperature, Humidity, Soil, pH)
    • Wireless (LoRa, WiFi, BLE, GSM)
    • Power (Solar panels, LiPo BMS, Step-down Converters)
    • Actuators (Servos, Relays, Solenoids)

    Challenge Roadmap

    1. 1. Problem Framing

      Identify a clear real-world sustainability challenge in local communities or industries.

    2. 2. Circuit & Firmware

      Wire sensors, program logic on your development board, and verify sensor accuracy.

    3. 3. Prototype & Pitch

      Assemble physical enclosure, display real-time sensor feedback, and demonstrate live function to judges.

    Track 02

    Robo AI

    Merging robotics hardware with edge AI, autonomous navigation, and intelligent physical interaction.

    Track prize: ₹25k

    Focus Areas

    Click or hover over any focus area card to see suggested project ideas and components.

    Autonomous Mobile Robots (AMRs)

    Self-navigating rovers, obstacle avoidance, and path planning.

    Ideas: Indoor mapping and navigation robot, line-following warehouse transport with obstacle dynamic rerouting.

    Hardware Stack: LiDAR, Ultrasonic array, Wheel encoders, Motor Drivers (L298N/BTS7960), Raspberry Pi.
    Explore details ↓

    Edge Computer Vision & AI

    Real-time visual processing, object classification, and gesture control.

    Ideas: Sorting robotic arm using vision-based color/shape detection, automated defect identification on conveyor belts.

    Hardware Stack: ESP32-CAM, Raspberry Pi Camera, OpenCV, TensorFlow Lite Micro, Servo Grippers.
    Explore details ↓

    Robotic Kinematics & Control

    Multi-DOF robotic arms, balance robots, and bio-inspired robotics.

    Ideas: Two-wheeled self-balancing robot with PID control, 4-DOF articulated arm with inverse kinematics calculation.

    Hardware Stack: MPU6050 IMU, High-torque Stepper/Servo Motors, PCA9685 Driver, Teensy/Arduino.
    Explore details ↓

    Recommended Hardware

    • Raspberry Pi 4/5 / Jetson Nano
    • Motors (DC Geared, Steppers, Servos)
    • IMUs (MPU6050, BNO055)
    • Camera Modules (ESP32-CAM, Pi Cam)
    • Motor Controllers & Drivers

    Challenge Roadmap

    1. 1. Mechanical Assembly

      Build the robot chassis, mount motors, and configure motor control circuits.

    2. 2. Intelligence & Tuning

      Implement PID control loops, sensor fusion algorithms, or edge AI models.

    3. 3. Live Mission Run

      Execute autonomous tasks, demonstrate real-time response, and present system architecture.

    Track 03

    Industry 4.0

    Industrial IoT, predictive maintenance, cyber-physical automation systems, and connected factory floor hardware.

    Track prize: ₹25k

    Focus Areas

    Click or hover over any focus area card to see suggested project ideas and components.

    Predictive Maintenance & Condition Monitoring

    Vibration analysis, thermal telemetry, and anomaly detection in machinery.

    Ideas: Industrial motor vibration logger identifying bearing wear before failure, smart current transducer detecting overload patterns.

    Hardware Stack: Accelerometers (ADXL345), IR Thermopile, SCT-013 Current Sensor, ESP32, MQTT Broker.
    Explore details ↓

    Industrial Automation & Cyber-Physical Systems

    Smart conveyor routing, automated safety interlocks, and digital twin feeds.

    Ideas: Automated quality inspection line with optical sensors and sorting actuators, digital twin dashboard sync.

    Hardware Stack: Proximity Sensors, Optical Interrupters, Relays, Node-RED, Modbus/RS485.
    Explore details ↓

    Supply Chain & Asset Telemetry

    Indoor localization, cold-chain monitoring, and smart inventory tracking.

    Ideas: Temperature/shock tracking device for fragile pharmaceutical transport with instant breach alarm.

    Hardware Stack: GPS/GNSS, Accelerometers, Temperature Data Loggers, E-paper Display, Cellular/BLE.
    Explore details ↓

    Recommended Hardware

    • Industrial Grade Microcontrollers
    • Vibration & Current Sensors
    • RS485 / Modbus Interfaces
    • Gateway Boards (Raspberry Pi, ESP32)
    • OLED & E-Paper Displays

    Challenge Roadmap

    1. 1. Telemetry Setup

      Attach sensor probes to simulated machinery and establish telemetry communication protocols.

    2. 2. Edge Analysis & Cloud

      Process sensor data locally for emergency triggers and stream metrics to live dashboards.

    3. 3. System Demonstration

      Simulate industrial fault conditions and demonstrate hardware safety cutoffs to judges.

    Department of AI & Data Science, Marathwada Mitra Mandal's College of Engineering (MMCOE), Karvenagar, Pune — presenting Yantravedh, "Exploring with Technology."

    For more information

    Vardhan Temghare — 9637066363
    Shruti Jadhav — 9309373160

    Faculty coordinators

    Mrs Abhilasha Shinde
    Mrs Avani Anawardekar
    Mrs Deepali Bhaturkar
    Mrs Nita Dimble

    HOD, AI & Data Science

    Dr. Dhanraj Dhotre

    Principal

    Dr. Sachin Sakhare

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