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

HTML Marquee with jQuery

An HTML marquee is a sliding piece of text that displays vertically down or  horizontally across the webpage depending on what conditions you have set. This is made by using HTML <marquees> …

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jQuery Utilities

jQuery Load() Method

For all students who need programmer for your thesis system or anyone who needs a sourcecode in any programming languages. You can contact me @ : Email – [email protected] Mobile …

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Advance Pagination with jQuery and PHP

In this tutorial, I will teach you how to set pagination in your existing data in the document of the page with jQuery, PHP and MySQL database. Pagination is the …

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Quick Search with jQuery, PHP and MySQL Database

Quick Search with jQuery, PHP and MySQL Database

In this tutorial, I will teach you how to create a quick search with jQuery, PHP and MySQL Database. With this, you can find easilly the record that you’re going …

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jQuery Traversing Methods

jQuery Load() Method

  For all students who need programmer for your thesis system or anyone who needs a sourcecode in any programming languages. You can contact me @ : Email – [email protected]

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Password Checker in jQuery

In this tutorial, I will teach you how to validate the password with jQuery. This method has a capability to check the strength of the input passwords. It will visually display …

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Datepicker in jQuery

Datepickers in jQuery has the ability to allow users to enter dates with ease and accuracy.  It is convenient to users where they can customize the format of the date and …

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jQuery HTML/CSS Methods

jQuery Load() Method

This time you will learn more about the jQuery methods. These methods can be a big help most especially when you are a newbie in this field. Once you learn these methods …

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jQuery Effects

jQuery Load() Method

This tutorial is about the jQuery effects. There are several techniques that jQuery library provides, just like for adding animation to a web page. It contains simple, standard animations that are mostly used and has …

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jQuery Events

jQuery Load() Method

jquery-javascript events

In this tutorial, you are going to learn how to put events on the HTML elements using jQuery. With this, you can set up an event handler on the page elements.

These events are used by the web user’s to interact with the page and in some cases browser itself will perform the event.

jQuery offers easy methods for most browser events. These methods are:

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jQuery Selectors

jQuery Load() Method
<div class="fixed ui-header ui-bar-inherit">
<p class="ui-title"><a href="https://itsourcecode.com/wp-content/uploads/2016/05/jquery-javascript.png"><img class="alignnone wp-image-3473 size-full" src="https://itsourcecode.com/wp-content/uploads/2016/05/jquery-javascript.png" alt="jquery-javascript selectors" width="630" height="430"></a>The <strong>jQuery selectors</strong> are used to select and manipulate HTML elements&nbsp;based on their <strong>classes, id, types, attributes</strong> etc. These selectors start with the dollar sign and parentheses. For instance, $().</p>
</div>

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jQuery Syntax

jQuery Load() Method

jquery-javascript syntaxIn this tutorial, you are going to learn the basic syntax of jQuery. The jQuery syntax is designed for selecting HTML elements to perform some action on the elements <tag/>.

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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.