• 6–8 hour challenge focused on PCB Simulation & ML integration.
• Promotes innovation, teamwork, and real-world IoT problem-solving.
• Top 3 teams win internship opportunities at Dizziguard+ Health Technologies.

• Phase 1 – Build (4 Hours): PCB Simulation + ML Model Development
• Phase 2 – Innovate & Integrate (2 Hours): Pitch presentation & evaluation

• Team size: 2–4 members.
• Strict time limits: 4 hrs build, 2 hrs evaluation.
• Teams must simulate PCB design & demonstrate clearly.
• Internet only for references (no prebuilt ML models/PCB layouts).
• Judges’ decision is final.

• Laptop with tools (KiCAD, Altium, EasyEDA, Python, TensorFlow, PyTorch, etc.)
• Chargers, extension cords, power banks
• Internet dongle/hotspot (Wi-Fi provided, backup recommended)
• Presentation tools (PPT, Google Slides, etc.)
• Slides to be prepared during the event

• PCB Design & Accuracy (25%): Compact wristband layout with ESP32 + MPU6050 + MAX30102
• ML Model Performance (25%): Accuracy & efficiency, bonus for TinyML deployment
• Innovation & Use Case (20%): Creative healthcare/IoT applications
• Integration & Feasibility (20%): Practical PCB + ML combination & deployment plan
• Presentation & Clarity (10%): Clear technical communication

Hands-on exposure to IoT hardware & AI/ML integration. Opportunity to earn internships with Dizziguard+ Health Technologies. A platform to showcase skills and innovate career-relevant solutions.

Venkatramane P – 8838414200

SreeLakshmi EV – 9087644172