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

Restaurant Management System In Java

Simple Restaurant Management System using Java

The Restaurant Management System Using Java is meant for the utilization of individuals that includes a mini restaurant. This straightforward Restaurant Management System programmed in Java can enable the user …

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Restore Backed Up Data in PHP

Good day everyone! nowadays I am gonna teach you on restoring a Restore Backed Up Data in PHP. Last time, I’ve produced a writing that is for the backing of …

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Backup Data from Database using SQL Command through PHP

Backup Data from Database using SQL Command through PHP Hello everyone! Today, I’m gonna teach you How to Backup MySQL Database in PHP. This tutorial can answer the question of …

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Display Random Content in PHP

Hello! Good day everyone. Today, I’m gonna teach you on Displaying a Content Randomly in PHP. Let’s start our tutorial. To be able to make it possible, we will use the rand() function to …

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Check if Strings Contains Replacing Sub Strings in VB.Net

Check If Strings Contains Replacing Sub String in VB.Net

This Tutorial is all about Check if Strings Contains Replacing Sub Strings in VB.Net. In this tutorial you will learn about Check if Strings Contains Replacing Sub Strings in VB.Net. …

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Zenventory Gadgets Inventory System using MySql in VB.NET

Zenventory Gadgets Inventory System using MySql in VB.NET

The Purpose of this Zenventory Gadgets Inventory System using MySql in VB.NET is to be used by Gadgets Companies specializing in selling gadget products to customers. Every aspect of an inventory record …

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Computer Hardware Inventory System using MYSQL in VB.Net

Computer Hardware Inventory System using MYSQL in VB.Net

The Purpose of this Computer Hardware Inventory System using MYSQL in VB.Net is to be used by Computer Hardware Companies specializing in selling computer hardware products to customers. The Inventory Management System project …

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How to Generate Random Numbers in VB.Net

How to Generate Random Numbers in VB.Net

This Tutorial is all about How to Generate Random Numbers in VB.Net. In this tutorial you will learn about How to Generate Random Numbers in VB.Net So lets get Started: Output: …

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How to Reverse a String using VB.Net

How to Reverse a String Using VB.Net

This Tutorial is all about How to Reverse a String using VB.Net. In this tutorial you will learn about How to Reverse a String using VB.Net. So lets get Started: …

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Understanding Strings in PHP

Hello everyone, this tutorial is about understanding and using strings in PHP. So we all know that the strings are the sequences of characters or it could be a sentence or 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.