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AI Cricket Coach – Personal AI Coach for Every Cricketer

🏏 AI Cricket Coach – Personal AI Coach for Every Cricketer AI Cricket Coach is an AI-powered cricket training platform that helps players improve their batting, bowling, fielding, and wicketkeeping skills using video analysis and personalized coaching. Players upload practice videos, and the platform uses Computer Vision, Pose Estimation, and Large Language Models (LLMs) to analyze body movements, identify technical mistakes, generate performance scores, and provide actionable improvement suggestions. The problem we aim to solve is the lack of affordable and accessible professional cricket coaching. Many aspiring cricketers, especially in small towns and rural areas, do not have access to expert coaches. AI Cricket Coach acts as a virtual personal coach available anytime through a smartphone or computer. Key Features: Batting Analysis Bowling Analysis Fielding Analysis Wicketkeeping Analysis AI Coaching Assistant Personalized Training Plans Performance Tracking Progress Reports Multilingual Support Technology Stack:• Python• Streamlit• MediaPipe• Computer Vision• Gemini AI• MongoDB Impact:AI Cricket Coach democratizes cricket coaching by making high-quality training affordable, accessible, and data-driven for every aspiring player

DNA DAO

DNA DAO AI-Powered Governance OS for DAOs and decentralized communities. Generates structured proposals from simple ideas using AI. Creates unique Governance DNA Profiles based on member behavior and voting patterns. Summarizes long governance discussions into actionable insights. Simulates proposal impact before voting to predict risks and outcomes. Automatically executes approved proposals through smart contracts.

Sehat Agent

SehatAgent is a real-time AI-powered healthcare video assistant that interacts with patients through live video calls, understands symptoms using advanced Large Language Models (LLMs), performs intelligent healthcare triage, analyzes risk levels, verifies safety, and autonomously coordinates healthcare actions. Unlike traditional healthcare chatbots that only provide text-based suggestions, SehatAgent functions as an AI healthcare agent capable of conducting doctor-like conversations, gathering complete symptom information, assessing severity, generating healthcare reports, booking appointments, and escalating critical cases to healthcare professionals. The system is designed specifically for resource-constrained and rural healthcare environments where timely access to medical guidance and healthcare services is often limited. How SehatAgent Works 1. Real-Time AI Video Consultation The user starts a live video call with the AI healthcare assistant. Using TruGen API, SehatAgent creates an AI-powered doctor avatar capable of: Real-time video interaction Natural voice conversation Human-like communication Facial expression synchronization Multilingual communication The consultation experience feels similar to talking with a healthcare professional. 2. Doctor-Like Symptom Collection Instead of asking fixed questions, SehatAgent conducts a dynamic consultation. The AI: Listens carefully to patient symptoms Understands context Maintains conversation memory Generates follow-up questions based on responses Example Patient: I have fever and chest discomfort. SehatAgent: How long have you been experiencing these symptoms?Are you having difficulty breathing?Have you experienced dizziness or weakness? The AI continues gathering information until it has enough clinical context for assessment. 3. Intelligent Symptom Analysis Once sufficient information is collected, the system performs: Symptom extraction Context analysis Severity evaluation Medical pattern matching Risk assessment The AI identifies: Symptom combinations Warning signs Potential emergency indicators Uncertainty levels 4. Healthcare Triage & Risk Classification SehatAgent automatically classifies patients into: Risk Level Meaning Low Risk Minor symptoms Medium Risk Consultation recommended High Risk Urgent medical attention required Critical Risk Emergency escalation required This process helps prioritize patients efficiently. 5. Safety Verification Layer Before performing any healthcare action, SehatAgent activates its Safety Verification Engine. The system checks: AI confidence score Response reliability Uncertainty levels Potential hallucinations Safety constraints Only after successful validation does the system proceed with healthcare actions. This safety-first architecture is one of the major innovations of the project. 6. Autonomous Healthcare Actions Unlike traditional AI assistants, SehatAgent performs real healthcare workflows. Possible actions include: Appointment Booking Doctor appointment scheduling Telemedicine consultation booking Healthcare Routing Directing patients to appropriate healthcare services Report Generation Creating structured consultation reports Emergency Escalation Triggering emergency workflows Connecting patients with healthcare professionals 7. Emergency Escalation System If the AI detects: Chest pain Breathing difficulty Stroke indicators Severe weakness Critical symptom combinations The system automatically: Generates a high-risk alert Escalates the case Connects the patient with a doctor Routes to the nearest district hospital or healthcare facility Creates an emergency consultation report This reduces delays during medical emergencies. 8. Multilingual Healthcare Support SehatAgent supports multiple languages. The user can select: English Hindi Regional Indian languages Based on the selected language: Entire interface changes AI speaks in the chosen language Reports are generated in that language Healthcare instructions are localized This improves accessibility for diverse populations. 9. AI Healthcare Report Generation At the end of every consultation, SehatAgent automatically generates a structured report. Report Includes Patient information Symptoms reported Symptom duration Risk classification AI observations Safety assessment Recommended next steps Escalation status Appointment details This report can be shared with healthcare professionals for continuity of care. Multi-Agent AI Architecture SehatAgent uses multiple specialized AI agents working together. Symptom Understanding Agent Collects and understands patient symptoms. Severity Assessment Agent Calculates risk scores and identifies emergencies. Action Orchestration Agent Handles appointments, reports, and healthcare workflows. Safety-Aware Escalation Agent Detects unsafe situations and manages escalation. Supervisory Validation Agent Reviews outputs before execution to ensure safety and consistency. Key Innovations Real-Time AI Doctor Video Calls Human-like healthcare conversations through AI avatars. Multi-Agent Healthcare Intelligence Multiple AI agents collaborate like a healthcare support team. Safety-Aware Healthcare AI All actions are validated before execution. Autonomous Healthcare Workflow Execution The AI performs actions rather than only giving suggestions. Emergency Escalation Framework High-risk patients are connected directly to healthcare providers. Multilingual Accessibility Healthcare support in multiple languages. Rural Healthcare Focus Designed for low-resource and underserved environments. Technology Stack Frontend React 19 TypeScript Vite Tailwind CSS Framer Motion Backend Node.js Express.js Socket.IO WebSockets AI Layer OpenAI API LangChain RAG (Retrieval-Augmented Generation) Multi-Agent LLM Architecture Video AI TruGen API Database PostgreSQL Prisma ORM Queue & Caching Redis BullMQ Python AI Services FastAPI Uvicorn Pydantic Security JWT Authentication bcrypt Helmet Vision SehatAgent aims to become a safe, intelligent, multilingual healthcare access layer that enables real-time AI-assisted healthcare consultation, risk assessment, and coordinated healthcare action execution for millions of users, especially in underserved and resource-constrained.