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

WordPress SEO Checklist 2026 (Yoast + Moz Workflow)

WordPress SEO Checklist 2026 (Yoast + Moz Workflow)

WordPress powers 43 percent of all websites globally, including most Filipino SMB sites and content-heavy blogs. Setting up SEO correctly on WordPress in 2026 is more repeatable than most people …

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Local SEO for Philippine Businesses: 2026 Playbook

Local SEO for Philippine Businesses: 2026 Playbook

Local SEO is where most Philippine SMBs get the fastest revenue lift from search. When someone in Cebu searches “dental clinic near me” or a Manila office worker searches “pizza …

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How to Write SEO-Optimized Blog Posts: Checklist (2026)

How to Write SEO-Optimized Blog Posts: Checklist (2026)

Writing a blog post that ranks in 2026 is more repeatable than most beginners think. Google’s SEO game is not magic; it is a checklist that consistently produces top-10 rankings …

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How to Audit Domain Authority with Moz (2026 Guide)

How to Audit Domain Authority with Moz (2026 Guide)

Domain Authority is Moz’s 1 to 100 score that predicts how well a site will rank on Google. It is not a Google metric (Google itself uses PageRank internally which …

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SEO Specialist Salary Philippines 2026: Real Rates + Path

SEO Specialist Salary Philippines 2026: Real Rates + Path

SEO is one of the highest-return career paths for Filipinos in 2026 because demand is stable, tools are learnable on nights and weekends, and remote work for foreign clients pays …

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7 Best SEO Tools for Filipino Agencies (2026 Ranking)

7 Best SEO Tools for Filipino Agencies (2026 Ranking)

Running an SEO agency in the Philippines in 2026 means picking your tools carefully. Every peso spent on a subscription is a peso not spent on hiring or client acquisition, …

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How to Check Backlinks with Moz Link Explorer (2026)

How to Check Backlinks with Moz Link Explorer (2026)

Backlinks are still the single biggest ranking factor in 2026 despite years of Google trying to reduce their weight. Every serious SEO project starts with a backlink audit, and Moz …

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Moz vs Ahrefs vs Semrush 2026: Filipino Agency Verdict

Moz vs Ahrefs vs Semrush 2026: Filipino Agency Verdict

Every Filipino SEO agency eventually runs into the same question: which one of the big three (Moz, Ahrefs, or Semrush) is worth paying for? At USD 99 to USD 500 …

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HashiCorp Terraform Associate 003 Exam Guide (2026)

The HashiCorp Terraform Associate (003) is the entry-level cert for infrastructure as code (IaC), and it has become one of the most cost-effective DevOps certs on the market in 2026. …

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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.