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

Activity Diagram for Shopping Cart | UML

Activity Diagram for Shopping Cart

Activity Diagram for Shopping Cart The UML activity diagram for shopping cart is a diagram that presents the flow of shopping activities. It is also used to emphasize the system’s …

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Food Donation Services System Free Bootstrap Template

Food Donation Services Free Bootstrap Template

About the Project

Food donation services online platforms are a type of donation service that allows people to donate food to those in need.

These platforms allow people to donate food that they no longer want or need to people who may not have access to food.

These platforms can also help to connect people who need food with organizations who can help them get access to food.

These platforms can also help to increase awareness of food shortages and food donation opportunities.

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Sequence Diagram for Online Shopping Cart

Sequence Diagram for Online Shopping Cart

Sequence Diagram for Online Shopping Cart The sequence diagram for online shopping cart describes the series of interactions that occur with the objects when performing the process on the system. …

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Class Diagram for Online Shopping Cart

Class Diagram of Online Shopping Cart

A UML class diagram is used to represent, explain, and document the parts (classes) of an online shopping cart. It can also be a reference or way to create executable …

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Bubble Sort in Java With Example Code

Bubble Sort In Java With Source Code

What is Bubble Sort in Java? The Java Program to Bubble Sort is a basic sorting algorithm that compares neighboring array elements and swaps them if the rightmost element is …

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Quicksort in Java With Example Code

Quicksort In Java With Source Code

What is Quicksort in Java? The Quick Sort in Java is a sorting algorithm that belongs to the divide-and-conquer group. It sorts in place (no need for extra data structures) …

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Selection Sort in Java With Example Code

Selection Sort In Java With Source Code

What is Selection Sort in Java? The Selection Sort In Java Program algorithm selects the smallest element in the array and swaps it with the array’s first element. The array’s …

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Number List Project in C++ with Source Code

Number List Project in C++ with Source Code

Number List Project in C++ with Source Code The Number List Project in C++ is an easy project written in the C++ language. The main operation of the project is …

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Dice Game In Python With Source Code

Dice Game In Python With Source Code

The Dice Game In Python is a fully functional console based application project that includes all of the components that IT students and computer-related courses will need for their college …

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Class Diagram for Event Management System

Class Diagram of Event Management System

A class diagram is used to represent, explain, and document the parts (classes) of an event management system. It can also be a reference or way to create executable software …

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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.