🏆 Winner - Waste Management Hackathon, Kathmandu
🚀 Selected for 3-Month Incubation by CNIYEF Nepal
An AI-powered, IoT-enabled waste management solution that automatically classifies and separates household waste, tracks user-wise waste production, and turns recyclables into earnings via vendor collaborations.
✨ Our Idea: Transform waste into valuable resources and actionable data.
-
🧠 YOLO-Based Real-Time Waste Detection
A camera-equipped smart bin runs a YOLOv5 object detection model to classify and sort mixed waste instantly. -
🤖 IoT-Enabled Smart Bin (ESP32)
The system uses ESP32 to physically separate waste into different compartments based on classification output. -
📈 User Waste Tracking & Insights
Each user can monitor their daily waste generation and receive sustainability insights and impact summaries. -
🏙️ Municipality Dashboard
Authorities access aggregated and individual waste data to optimize collection, plan routes, and identify recycling opportunities. -
🔄 Recyclable Marketplace & Earnings
Vendors post demand for specific recyclable materials. Municipalities match supply with demand. A portion of recycling revenue is rewarded back to contributing households.
| Layer | Tools/Tech |
|---|---|
| ML Model | YOLOv5 (Object Detection) |
| Microcontroller | ESP32 (Cam + Servo Control) |
| Frontend | React.js, Tailwind CSS |
| Backend | Node.js, Express.js |
| Database | MongoDB |
| Deployment | Render, GitHub |
- 🗑️ User deposits mixed waste into the upper chamber of the smart bin.
- 🎥 Camera scans waste → YOLO model identifies waste types (plastic, metal, organic, etc.).
- 🕹️ ESP32 controls actuators to sort waste into correct compartments.
- 🧾 Waste logs are linked to the user via a unique identifier (e.g., RFID or QR).
- 🗂️ Data syncs to dashboard for tracking, reward, and municipality use.
- ♻️ Recyclables matched with vendor demand → Revenue generated → Users earn credits.
| Stakeholder | Access to |
|---|---|
| User | Personal waste history, category-wise breakdown, rewards |
| Vendor | Material demand post, matched recyclables |
| Municipality/Admin | Aggregated and household-level waste insights, vendor coordination |
- 👨💻 [Bipin Kumar Marasini][(https://github.com/Bipin-km)]
- 👩💻 [Dharmendra Singh Chaudhary] [(https://github.com/Dharmendra016)]
- 👨🔧 [Nitesh Kumar Sah] [(https://github.com/nitesh-0)]
- 🧑💼 [Ramesh Kathayat] [(https://github.com/ramesh34-hub)]
- Khalisisi, Ncell Foundation, Budhanilkantha Municipality, all other involving members, mentors, and fellow teams
- CNIYEF Nepal for incubation support
- Open-source contributors behind YOLO, ESP32 firmware, MongoDB, and more
