This project introduces a modern approach to cricket coaching by integrating mobile-based video capture, annotation tools, and feedback management into a unified digital platform.
- Devarsh Bharatiya
- Maharishi Vyas
- Harsh Patel
- Rishi Sehgal
- Jatinderbir Singh
- Mohit Gupta
Traditional cricket coaching relies heavily on verbal feedback and manual observation. This project was designed to:
- Digitize critical performance moments for analysis
- Facilitate structured, player-specific feedback
- Enhance learning through visual cues and recorded insights
- Build a long-term, trackable coaching relationship
This application represents Phase 1 of the Cricket Coach App.
Its current focus includes:
- Manual session recording and annotation
- Feedback delivery via text, audio, and drills
- Role-based access and session tracking
🔒 Not included in this phase:
- AI-based tagging or drill recommendation
- Real-time motion detection or auto-feedback
- Cloud-based media processing
These features are intended for future enhancement (Phase 2).
| Feature | Description |
|---|---|
| 🎥 Video Recording | Capture 5-second practice clips on mobile devices |
| ✍️ Annotation Tools | Draw over video, pause, and slow-motion review |
| 📝 Text Feedback | Submit written observations linked to specific clips |
| 🎤 Voice Notes | Add spoken feedback for deeper analysis |
| 🏏 Drill Recommendations | Assign structured training drills related to recorded actions |
| 🖼️ Profile Picture Upload | Coaches and students can upload and view profile photos |
| 🔒 Role-Based Access | Separate dashboards and permissions for coaches and students |
| 🔁 Session History | View all past coaching sessions linked to each player and coach |
- Organize practice sessions digitally
- Focus feedback on actual observed footage
- Save time by reusing annotated drills
- Track each player’s progress across multiple sessions
- Access constructive feedback asynchronously
- Visually connect errors with corrections
- Build a performance library to track improvement over time
| Layer | Technology |
|---|---|
| Frontend (Mobile) | React Native + Expo |
| Backend | Node.js + Express.js |
| Database | MongoDB + Mongoose |
| File Storage | Multer + Local FileSystem |
| Annotation Engine | Expo Camera + SVG Overlay |
- Coaches can work with multiple students
- Students can be trained by multiple coaches
- Each session links both sides and stores:
- 🎥 Video clip
- ✍️ Text and 🎤 voice feedback
- 🏏 Drill suggestions
- ⏱ Timestamped metadata
Login → Select Student → Record Clip → Annotate → Add Feedback → Save Session
Login → View Feedback → Watch Video + Comments → Review Drill Suggestions
Back End (master): https://github.com/Collaborate-TD/cricketlog-server
- Node.js and npm
- MongoDB (local or cloud)
- Expo CLI
- Clone the repository
- Install dependencies (both backend and frontend)
- Set up environment variables in
.env - Start backend and frontend servers
- npm install
- npm start
Note: If you encounter issues after the first run, adjust your .env file and run npm start again.
- 🤖 AI-generated feedback suggestions
- 📈 Player performance analytics
- 🔗 Cloud-based storage
- 🧩 Drill recommendation engine
- 🔔 Push notifications for feedback
This project was developed as part of a graduate-level academic initiative at the University of Windsor, in collaboration with Become Better, an industry partner in the field of sports technology.
It is intended solely for educational and evaluative purposes.
Commercial use, redistribution, or modification is strictly prohibited without prior written consent.
© All rights reserved by Windsor Analytics and the University of Windsor.
Any external use of this project must be authorized by the project team.
Archit Singh
Cricket Coach & Founder – Become Better
Website: www.becomebetter.ca