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

File Management System In Java With Source Code

File Management System In Java With Source Code

The File Management System In Java is a document manager that helps you organize your files by keeping them all in one place. This system allows you to conveniently manage …

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Use Case Diagram for Student Attendance Management System

Use Case Diagram of Student Attendance Management System

The student attendance management system use case diagram summarizes its activities and users. It shows the attendance system’s behavioral structure graphically. Student Attendance System Use Case Diagram: Details Name: Student …

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Online Alumni Management System Project in Laravel

Online Alumni Management System Project in Laravel with Source Code The Online Alumni Management System is a Laravel MySQL project that aids in the management of alumni data at a …

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Doctor Appointment System Project in Laravel with Source Code

Doctor Appointment System Project in Laravel with Source Code

Doctor Appointment System Project in Laravel with Source Code This project makes use of the fully functional Laravel Doctor Appointment System. Second-year IT students will need all of the functionality …

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Component Diagram for Credit Card Processing System

Component Diagram of Credit Card Processing System

Component Diagram for Credit Card Processing System The component diagram for credit card processing system is used to show how the parts of the card processing system work together to …

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Deployment Diagram for Credit Card Processing System

Deployment Diagram for Credit Card Processing System

What is Credit Card Processing System Deployment Diagram? A deployment diagram for credit card processing system is used to describe the system’s operation showing the hardware and software components that …

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QR Code Fare Payment System Bootstrap Template

QR Code Fare Payment System Bootstrap Template

About the Project

A QR code fare payment system is a system that uses QR codes to allow passengers to pay for their fare using their mobile device. The QR code is scanned by the driver, and the fare is paid using the passenger’s mobile device. This system is convenient for passengers because they do not need to carry cash or tokens, and it is also secure because the payment is done through a mobile device. This system is becoming more and more popular, and it is expected to be the standard fare payment system in the future.

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Class Diagram for Credit Card Processing System

Class Diagram of Credit Card Processing System

A Credit Card Processing System Class Diagram is used to represent, explain, and document the parts (classes) of an credit card processing system. It can also be a reference or …

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Credit Card Processing Sequence Diagram | UML

Sequence Diagram for Credit Card Processing System

Credit Card Processing System Sequence Diagram The Credit Card Processing System Sequence Diagram describes the series of interactions that occur with the objects when performing the system’s process. A sequence …

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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.