PostureSense is an ultra-lightweight, real-time posture & activity detection API, optimized for microcontrollers and edge devices like ESP32 and Raspberry Pi.
This public version includes a demo simulation of posture output — the full classification logic is private for security, licensing, and IP protection.
PostureSense brings intelligent posture monitoring to embedded systems without relying on the cloud or high-performance GPUs. Designed for real-time, offline use, it's perfect for integrating into smart chairs, classrooms, and wellness devices.
Built with TinyML and Edge AI, PostureSense transforms posture monitoring from bulky models to minimal, firmware-friendly APIs — designed for real-world deployment.
| Feature | Description |
|---|---|
| 🧠 Posture Detection | Detects slouching, head tilt, hand raise, and more |
| ⚡ Offline Inference | Runs entirely on-device (no internet needed) |
| 🔌 Edge-Ready API | Modular Flask-based API for integration with microcontrollers |
| 📡 Serial / MQTT Output | Easy communication with embedded firmware |
| 🔒 Privacy-Friendly | No cloud, no data upload — all processing happens locally |
| 💼 Monetization-Ready | SDK licensing, analytics dashboard, OEM integration roadmap |
git clone https://github.com/GeekAvi007/PostureSence-MCU-API
cd posturesense-demo
pip install -r requirements.txt
python api/server.py
Visit: http://127.0.0.1:5000/posture
You'll receive simulated JSON output mimicking posture predictions.
📦 Output Format (Simulated)
json
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{
"posture": "slouch",
"attention": false,
"confidence": 0.85,
"note": "Simulated output. Contact for full access."
}
📚 Use Cases
🪑 Smart Chair
Triggers buzzer or LED if poor posture is detected for more than 3 minutes.
🎓 Student Focus API
Flags inattentiveness in live online classrooms and sends alerts to dashboards.
👴 Elderly Monitor
Detects slouching or unusual head positions and alerts caregivers locally.
🧑💻 DevPosture Tracker
Rates your coding posture over time and shows analytics in a dashboard.
🧠 Why It’s Different
🧩 Built for Edge, Not the Cloud
Most AI APIs require internet, servers, or cloud inferencing. PostureSense is optimized for offline usage on microcontrollers — from Raspberry Pi Zero to ESP32-CAM.
📦 You Built an API, Not Just a Model
This isn't just ML — it's a modular developer-ready API designed with:
Licensing potential
Real-world device integration
SDK & dashboard bundling
🔬 TinyML + Embedded Deployment = Rare Combo
Very few developers specialize in:
TinyML optimization
Real-time posture/gesture AI
Deployable edge APIs for hardware startups
You're building what < 0.01% of devs even attempt.
🔐 Want Full Access?
This is a demo-only repository.
The real-time posture classifier, model logic, and SDK are privately maintained.
For full access, licensing, OEM integrations, or pilot collaboration:
📩 Email: avishekmachinelearning@gmail.com
💼 LinkedIn: Avishek Mukherjee
📄 License
rust
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© 2025 Avishek Mukherjee
You are free to view and use this repository for non-commercial exploration.
Commercial use, redistribution, or reproduction of the underlying classification logic or proprietary modules is strictly prohibited.
Contact the author for licensing or OEM integration.
✅ GitHub Actions (Optional)
If you’ve set up GitHub Actions, you can add this to the top of your README:
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🎥 Demo GIF
Drop a short GIF here showing a simulated output request:
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🙌 Credits
Built with ❤️ using Flask + OpenCV + TinyML design principles.
“Create products, not just projects.”