Free Source Code, Capstone Projects & Programming Tutorials

Your trusted resource for downloadable source code, complete capstone projects with ER diagrams and Chapter 1-5 documentation, AI-ready capstones (RAG, ChatGPT, computer vision), and step-by-step tutorials in PHP, Python, Java, JavaScript, and more. Built by working developers, tested before publishing, and updated for 2026.

📅 Updated weekly | ✅ Code tested before publishing | 👨‍💻 Built by PIES IT Solutions developers

Component Diagram for E-commerce Website | UML

Component Diagram of E-commerce Website

Component Diagram for E-commerce Website System The component diagram of e-commerce website is used to show how the parts work together to make the website operate correctly. A component diagram …

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Parking Management System Project in Python with Source Code

Parking Management System Project in Python with Source Code

What is Parking Management System Project in Python? A Parking Management System Project in Python is a set of innovative technologies that provide parking sector solutions. Any parking management system’s …

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Component Diagram for Inventory Management System | UML

Component Diagram of Inventory Management System

Component Diagram for Inventory Management System The component diagram for inventory management system is used to show how the parts of inventory management work together to make the system operate …

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Sports Management System Project in Laravel with Source Code

Sports Management System Project in Laravel with Source Code

Sports Management System Project in Laravel with Source Code This project is completely functional and uses the Laravel Sports Management System. The Laravel project below contains all of the features …

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Component Diagram for Student Registration System

Component Diagram of Student Registration System

Component Diagram for Student Registration System The component diagram for student registration system is used to show how the parts work together to make the system operate correctly. A component …

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Laravel Blog System Project with Source Code

Laravel Blog System Project with Source Code

Laravel Blog System Project with Source Code Do you want to start your own blog or add a business blog to your existing website? Blog System in Laravel Framework are …

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Component Diagram for School Management System

Component Diagram of School Management System

Component Diagram for School Management System The component diagram for school management system is used to show how the parts work together to make the system operate correctly. A component …

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Online Examination System Project in Laravel with Source Code

Online Examination System Project in Laravel with Source Code

Online Examination System Project in Laravel with Source Code This project is fully functional and is based on the PHP-Laravel Online Examination System. All of the functionalities that second-year IT …

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Deployment Diagram for Car Rental System | UML

Deployment Diagram for Car Rental System

Deployment Diagram for Car Rental System The deployment diagram for the car rental system shows the system’s architectural structure through nodes and their association. This UML deployment diagram presents the relationships between …

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Frequently Asked Questions

Are these deep learning projects free for capstone and thesis use?
Yes. All deep learning projects on this hub are free to download, modify, and submit. No attribution required for academic use. Most are MIT-licensed or include source-code packs with sample datasets and pretrained model weights.
What deep learning frameworks do I need installed?
Most projects use OpenCV (cv2) for video capture and image preprocessing, plus one of: TensorFlow / Keras (Caffe model loading via cv2.dnn, custom CNN training), PyTorch (research-style models, YOLO v5+, transformers), or MediaPipe (Google's optimized face/hand/pose detectors). Install with pip install opencv-python tensorflow keras torch torchvision mediapipe numpy. Python 3.10, 3.11, or 3.12 recommended (avoid 3.13 until all wheels catch up).
Do I need a GPU to run these deep learning projects?
For inference (running a pretrained model on your webcam): no, CPU runs at 15-30 FPS for most computer-vision tasks. For training a custom model on your own dataset: GPU strongly recommended (CPU works but is slow). Free GPU options: Google Colab Free (12-hour sessions, sufficient for most BSIT capstones), Kaggle Notebooks Free (30-hour weekly quota), Paperspace Free tier. No need to buy a $1000+ GPU just for a capstone defense.
Deep learning vs classical machine learning, which should I pick for my capstone?
Pick deep learning when your inputs are unstructured (images, audio, video, text) and you have 10,000+ training samples. Pick classical ML (random forest, SVM, logistic regression) for tabular data, small datasets (under 1,000 rows), or when you need explainable predictions for the panel. Many capstones combine both: deep learning for feature extraction (face embedding via FaceNet) plus classical ML on top (SVM classifier for identity matching).
Why is my OpenCV deep learning model running at 2 FPS?
Three usual causes: (1) Resolution too high, resize frames to 640x480 or 320x240 before inference. (2) Wrong cv2.dnn backend, set net.setPreferableBackend(cv2.dnn.DNN_BACKEND_OPENCV) and net.setPreferableTarget(cv2.dnn.DNN_TARGET_CPU). (3) Heavy model on weak hardware, swap YOLO v5 for MobileNet-SSD or use Haar cascades for simple face/eye detection. Also close other applications and disable laptop battery-save throttling.
Can I extend a single OpenCV demo into a full BSIT capstone?
Yes, and you should. A standalone webcam demo (face detection alone) is too narrow for capstone scope. Wrap it in a real system: face recognition becomes Real-Time Attendance System with PHP/MySQL dashboard, object detection becomes Smart CCTV Alert System with email notifications, drowsiness detection becomes Driver Monitoring System for fleet vehicles. Add user accounts, database logging, simple admin UI, and write Chapters 1-5 manuscript to satisfy panel requirements.
How often is this deep learning projects list updated?
New deep learning projects are added periodically as we receive student requests and new models become OpenCV-compatible. Last refreshed June 2026 with 19 vision-focused projects covering face recognition, object detection, traffic-sign classification, OCR, and more.