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

NOCL Location Based Mobile Application Thesis Documentation Chapter 1

NOCL Location Based Mobile Application Thesis Documentation Chapter 1

NOCL Location Based Mobile Application Thesis Documentation Chapter 1 This chapter 1 of Negros Occidental Carwash Locator (N.O.C.L.) Location Based Mobile Application Thesis Documentation Chapter 1, present the introduction about …

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Automated Basketball Scheduling System – Chapter 5 Documentation

Automated Basketball Scheduling and Monitoring System-CHAPTER5

Automated Basketball Scheduling System – Chapter 5 Documentation This thesis chapter 5 documentation of Automated Basketball Scheduling System is created to explain its summary, conclusion & recommendation. This basketball scheduling …

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Automated Basketball Scheduling System Chapter 4 Documentation

Automated Basketball Scheduling and Monitoring System-Chapter 4

This thesis chapter 4 documentation of Automated Basketball Scheduling and Result Monitoring System is created to explain its evaluation result and enlighten you the content of the system. Automated Basketball …

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Expense Tracker in JavaScript with Source Code

Expense Tracker in JavaScript with Source Code

Expense Tracker in JavaScript with Source Code The Expense Tracker in JavaScript is a simple project designed in JavaScript language using HTML and CSS platform.  This project will allow users to better …

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CRANE Thesis Documentation Chapter 5

CRANE Thesis Chapter 5

CRANE Thesis Documentation Chapter 5 This CRANE Thesis Documentation Chapter 5 presents the summary, conclusion and recommendation based on the findings of the study. Summary of Findings The proponents had …

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Best Python Frameworks For Web and Software Development

List of Best Python Frameworks

Best Python Frameworks For Web and Software Development This article created a list of best python frameworks to give you ideas and to guide you in choosing what is best …

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Typing Game in JavaScript with Source Code

Typing Game in JavaScript with Source Code

Typing Game in JavaScript with Source Code The Typing Game in JavaScript is a simple project designed in JavaScript language using HTML and CSS platform. This game its a simple …

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9 Best Online Python Interpreter and Compiler [Updated]

List of Python Interpreters | Guide to best python interpreter online 2021

An Online Python interpreter is a program that runs the code you’ve written line by line without compiling it into machine language. In order for you to test and run …

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CRANE Thesis Documentation Chapter 3 | Methodology

CRANE Thesis Documentation Chapter 3 | Methodology

CRANE Thesis Documentation Chapter 3 | Methodology This chapter of CRANE Thesis Documentation Chapter 3 | Methodology it presents the system design and methodology of the proponent’s game. A condition …

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Automated Basketball Scheduling and Monitoring System – Methodology

Automated Basketball Scheduling and Monitoring System 3

Automated Basketball Scheduling and Monitoring System – Methodology This article discusses the methodology of the Automated Basketball Scheduling and Monitoring system as well as the step-by-step processes happening in a …

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Automated Basketball Scheduling and Monitoring System – Chapter 1

Automated-Basketball-Scheduling-and-Monitoring-System

Automated Basketball Scheduling and Monitoring System – Chapter 1 This article of Automated Basketball Scheduling and Result Monitoring System Documentation provides you the chapter 1 contents of the system created for the …

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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.