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

How to Send an Email as Urgent in Gmail?

how to send urgent email in gmail

HOW TO SEND AN EMAIL AS URGENT IN GMAIL – In this article, we will explore the concept of sending urgent emails, messages that demand immediate attention and are often …

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How to Create Apple ID with Gmail? A Step-by-step Guide

create apple id with gmail

HOW TO CREATE APPLE ID WITH GMAIL – An Apple ID serves as a central hub for accessing various Apple services and features across devices, facilitating seamless integration and personalized …

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How to Change Email Line Spacing in Gmail?

how to change line spacing in gmail

HOW TO CHANGE EMAIL LINE SPACING IN GMAIL – In this article, we delve into the significance of line spacing in Gmail, which pertains to the vertical spacing between lines …

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How to Find My Gmail Password? 4 Methods

how to find my gmail password

HOW TO FIND MY GMAIL PASSWORD – When locked out of your Gmail account on an Android device, it’s crucial to regain access swiftly to resume using essential Google services. …

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How to Recover an old Gmail account?

How to Recover an old Gmail account

HOW TO RECOVER AN OLD GMAIL ACCOUNT – Losing access to your Google Account can be incredibly stressful. Thankfully, Google’s Account Recovery process is designed to help you regain access …

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LangChain Capstone Project in Python (Free Source Code)

LangChain-Capstone-Project-in-Python-Free-Source-Code

LangChain is the easiest way to build a capstone where the LLM does not just answer questions. It actually does things. Searches your documents. Queries your database. Books a calendar …

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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.