The Vision
As the CEO of MindPulse AI and a Microsoft Imagine Cup 2026 Regional Finalist, Iβve always believed that data is the soul of modern sports. But standard apps only scratch the surface. With Mr.360-AI, we are moving beyond basic scoring into 360Β° Visual Intelligence.
The Problem Stack
In the world of cricket, we identified four critical gaps:
Analytical Blind Spots: Missing shot mechanics and ball trajectories.
Fan Isolation: Latency in shared match experiences.
Stadium Chaos: Fragmented gate and crowd management.
Quality Control: Zero transparency in stadium hospitality.
The Architecture (GSoC 2026 Focus)
I built Mr.360-AI to be a scalable, open-source-friendly ecosystem. Hereβs how the engine works:
Frontend: React + Vite for lightning-fast performance and atomic design.
Backend & Auth: Firebase for real-time synchronization.
Intelligence: Custom Computer Vision models designed to extract biomechanical data from raw video frames.
Key Features & Innovation
Shot-Ball Correlation: Analyzing the physics of the game in real-time.
AI Commentary Sync: Using a specialized orchestration layer to broadcast live insights over Bluetooth/VoIP.
Smart Logistics: Real-time crowd-flow algorithms for stadium gate advisories.
Why I'm Open-Sourcing This Journey
My goal is to contribute this expertise to the Google Summer of Code (GSoC) 2026. I am looking to collaborate with global organizations that are pushing the limits of Computer Vision, IoT, and Real-time Analytics.
Call to Action (CTA)
Iβm looking for feedback from the global dev community! How would you scale the edge-processing for live match analytics?
π GitHub Repo: https://github.com/RAHULKHATI369/Mr.360-AI
π Live Demo: https://mr-360-ai-858c4.web.app/
πΊ Video Walkthrough: Demo Link
Letβs connect!
LinkedIn | Portfolio


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