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

Subclassing in JavaScript | Implementation and Examples

javascript subclassing

What does subclassing in JavaScript mean? How to implement sublass in JavaScript projects? In this article, we will explore the concept of subclassing and present how to implement subclass with …

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How To Use Resolve JavaScript | Learn with Examples

Javascript resolve

What is resolve() function in JavaScript? Do you how to use resolve method in JavaScript? In this article we will explore the concept of resolve function, and how to implement …

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How to print nested object in JavaScript

How to print nested object in JavaScript

One of the simple tasks in JavaScript is to print the contents of a nested object. In this article, you will have to learn how to print nested object in …

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How JavaScript Set Cursor Position In Input

javascript set cursor position in input

When working with input fields, you might come across situations where you need set JavaScript cursor position in input field. This can be useful for automating form interactions, implementing autocomplete …

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What are the cool things to do with JavaScript?

What are the cool things to do with JavaScript?

If you’re asking what are the cool things to do with JavaScript on a website. Well, you’ll see a vast of it. JavaScript offers numerous exciting possibilities! JavaScript is a …

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How to Fix Deprecated in JavaScript

How to Fix Deprecated in JavaScript

As the technology emerge, several features and methods in JavaScript become deprecated. Deprecated features are those that have been phased out and are no longer supported for using in modern …

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How to Concat Array of Objects in JavaScript

How to Concat Array of Objects in JavaScript

In this article, we will show you how to concatenate arrays of objects in JavaScript. By combining several arrays into a single array, we can perform different operations effectively. What …

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How to Create a Grocery List in JavaScript?

How to Create a Grocery List in JavaScript?

Discover how to create a simple and interactive grocery list using HTML, CSS, and JavaScript. This step-by-step tutorial will guide you through the whole process of building a functional grocery list …

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Are there pointers in JavaScript? A Beginner’s Guide

Are there pointers in JavaScript? A Beginner's Guide

Are there pointers in JavaScript? Well, if you want to know the answer, keep on reading! This article will answer this question below. Discover the truth about JavaScript pointers with …

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Mastering Ways To Convert Set To Array JavaScript

javascript convert set to array

Why convert set to array in JavaScript? What are the methods we need to convert sets to an array? In this article, we will explore the process of converting a …

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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.