AI Fruit Freshness & Condition Prediction System
Deep learning Computer Vision system utilizing CNN / ResNet architectures to classify fruit freshness grades and detect surface spoilage in real-time.
AI Fruit Freshness & Condition Prediction System 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.
AI Fruit Condition & Quality Grading System (FYP Complete Package)
The AI Fruit Condition Prediction System is a state-of-the-art computer vision engineering project designed to automate agricultural sorting and retail quality assurance. By training a deep Convolutional Neural Network (CNN / ResNet) on thousands of multi-class fruit samples (Apples, Bananas, Oranges, Tomatoes), this system accurately grades fruits into Fresh vs. Rotten states with high-confidence probability scores.
🧠 Architecture & Tech Stack:
- Core AI Framework: Python 3.10+, PyTorch / TensorFlow, OpenCV
- Model Architecture: Transfer Learning with MobileNetV2 & ResNet-50 (>96% validation accuracy)
- Web Application: Django 5 / Flask with Bootstrap 5 responsive UI
- Input Channels: Live Webcam Stream, Image File Upload, and Batch Directory Processing
- Reporting Engine: Automated PDF inspection certificates with timestamped grading statistics
📦 Complete FYP Deliverables Included:
- Complete, bug-free Python / Django Source Code
- Pre-trained Deep Learning Model Weights (`.h5` / `.pt` / `.onnx`)
- Curated & labeled 5,000+ Image Dataset with Data Augmentation scripts
- Comprehensive 50+ page Final Year Project Documentation Report (IEEE format)
- Professional Defense Presentation Slides (PowerPoint PPTX)
- Circuit schematics for optional conveyor belt sorting integration
What's Included in the Package:
- Complete Python & Django Source Code
- Pre-trained CNN & ResNet Model Weights
- Curated 5,000+ Image Fruit Quality Dataset
- Comprehensive IEEE Project Report (Word DOC & PDF)
- Project Defense Presentation Slides (PPTX)
- Video Setup & Installation 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.
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