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

Reference error: navigator is not defined

Referenceerror navigator is not defined

Have you encountered the “Reference error: navigator is not defined” message when working with JavaScript? This error can be particularly bothersome when developing a JavaScript-dependent website or application. In this …

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Syntaxerror generator expression must be parenthesized

Syntaxerror generator expression must be parenthesized

The syntaxerror generator expression must be parenthesized typically happens when working with generator expressions in Python. This error message is easy to fix. However, it’s a little bit confusing, especially if you …

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Referenceerror: response is not defined

referenceerror response is not defined

Programmers often come across the common error known as “ReferenceError: response is not defined” while working with JavaScript or other programming languages. This error occurs when the code tries to …

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Valueerror: grouper and axis must be same length

Valueerror grouper and axis must be same length

When you are working with data analysis and manipulation in Python, you may encounter the ValueError: Grouper and axis must be same length. This error typically occurs when we are …

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Valueerror: trailing data

Valueerror trailing data

The Valueerror: trailing data error typically occurs when there is additional data after the expected end of a string or sequence. What is ValueError: trailing data? ValueError trailing data is …

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Uncaught in promise syntaxerror: unexpected end of input

Uncaught in promise syntaxerror: unexpected end of input

The uncaught in promise syntaxerror: unexpected end of json input is a JavaScript error that usually happens when working with promises. If you’re stuck and get perplexed by this error message, then …

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Expression.syntaxerror: token eof expected.

Expressionsyntaxerror token eof expected

Are you dealing with the expression.syntaxerror: token eof expected error message in your code? This error message is commonly seen in programming languages like Python and JavaScript. In this article, we will …

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Uncaught referenceerror: process is not defined

Uncaught referenceerror process is not defined

Many developers often face a specific error called “Uncaught referenceerror: process is not defined.” This error can be quite perplexing and frustrating, especially for beginners in programming. In this article, …

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Valueerror array must not contain infs or nans

valueerror array must not contain infs or nans

When you are working with arrays in Python, you may encounter a common error message: ValueError: array must not contain infs or nans This error occurs when an array contains …

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Referenceerror: globalthis is not defined

Referenceerror globalthis is not defined

Many developers often face a specific error called “ReferenceError: globalThis is not defined.” This error can be quite perplexing and frustrating, especially for beginners in programming. In this article, we …

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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.