IoT AI Waste Classification & Segregation FYP Kit
Complete Final Year Project kit featuring ESP32-CAM and real-time TensorFlow AI waste image classification with automated servo segregation bin.
IoT AI Waste Classification & Segregation FYP Kit is a complete, ready-to-deploy software & FYP codebase designed for university final year projects, academic research, and full-stack development. Includes complete source code, database schema, setup documentation, and technical support across Pakistan.
Complete Edge AI & IoT Final Year Project Solution
The IoT & AI-Powered Waste Classification & Automated Segregation System is a comprehensive, turnkey engineering Final Year Project (FYP) designed to earn top grades in university viva defenses. Unlike generic software simulations, this system combines real-time deep learning computer vision on the edge with precision electromechanical actuation.
How the System Works:
When an item of trash is placed on the intake detection platform, an overhead ESP32-CAM optical module captures a high-resolution snapshot. The on-device neural network (trained on TensorFlow / TFLite) classifies the item in under 50 milliseconds into categories including Organic, Recyclable, Plastic, and Non-Recyclable. The microcontroller then actuates high-torque servo motor baffles to automatically tilt and drop the waste into its correct designated container.
What Makes This Project Viva-Proof?
• Real Hardware Actuation: Demonstrates real electromechanical integration rather than just a web dashboard.
• Edge Machine Learning: Uses quantized TensorFlow Lite models running on local hardware for zero-latency inferencing.
• Full Source Code & Training Dataset: Includes complete Arduino/C++ firmware, Python training scripts, and dataset with instructions for adding custom classes.
• Report-Ready Documentation: Complete block diagrams, circuit schematics, and project report structure ready for university submission.
• Direct technical guidance and viva defense support from ISOL engineering lab in Lahore.
What's Included in the Package:
- 1x ESP32-CAM WiFi & Bluetooth Module with OV2640 Lens
- 1x ESP32-CAM MB Micro-USB Shield & Programmer
- 3x High-Torque TowerPro SG90 / MG90S Metal Gear Servos
- 1x 3-Compartment Smart Segregator Dustbin Acrylic/Metallic Mechanism
- 1x 5V 3A Regulated DC Power Supply Adapter
- 1x Pre-Trained TensorFlow / TFLite Waste Classification Model (.tflite)
- 1x Full Working Source Code (Arduino C++ & Python Training Pipeline)
- 1x Complete Circuit Schematic & Viva Defense Presentation Guide
Software Setup & Deployment Guide:
Download and extract the complete source code package, database schema, and architecture documentation provided with your order.
Open the project directory in VS Code or your preferred IDE and install the required runtime libraries and packages listed in the setup guide.
Set up your environment configuration variables and run the included database migrations or seed scripts.
Start the local development server or build executable and test all user, admin, and core functional workflows.
Need a Custom 3D Printed Casing or Multilayer PCB?
Get custom snap-fit enclosures and robotics parts printed via our custom 3D printing service in Lahore & Pakistan, or order industrial double-sided circuit boards through our custom PCB fabrication service with nationwide delivery.
Key Features
Specifications
Community Questions & Answers
Have a question about compatibility, code, or delivery? Ask our engineering team or see what other Pakistani makers asked.
Does this project include the pre-trained Python machine learning code and dataset for recyclable vs organic waste?
Yes, Ali. The complete Python script, trained model weights (.h5 / TFLite), dataset documentation, and ESP32 microcontroller firmware are provided so you can run and demonstrate the classification live during evaluations.