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

Modulenotfounderror: no module named ‘wget’

Modulenotfounderror: no module named 'wget' [SOLVED]

Encountering errors like modulenotfounderror: no module named ‘wget’ in Python is inevitable. This kind of error usually appears when developers try to import a module that is not found in …

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modulenotfounderror: no module named torch.fx

modulenotfounderror no module named torch_fx

In this post, you will learn the solutions to resolve the modulenotfounderror: no module named ‘torch.fx’ error which is encountered of all programmers in python language. Before we proceed to …

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modulenotfounderror: no module named ‘gensim’ [SOLVED]

modulenotfounderror no module named gensim

In this article, we will discuss the solutions to resolve the error modulenotfounderror: no module named gensim. Frequently, several programmers will install these modules ‘gensim‘ into a various virtual environment …

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How Exit Program Python: Easy Ways For Beginners

Python Exit Program

Solution 1: Use the quit() function in Python Python’s built-in quit() method is utilized for the successful termination of a Python program. When the system encounters the quit() function, the …

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Python Capitalize First Letter with Example Program

Python Capitalize First Letter

Capitalizing the first letter in Python is vital and a common format for the reader’s convenience. However, before understanding these methods, let’s begin with a brief introduction to Python strings. …

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Modulenotfounderror: no module named ‘pyspark.pandas’

modulenotfounderror no module named 'pyspark.pandas'

The modulenotfounderror: no module named ‘pyspark.pandas’ is an error message that usually happens when you are working with your Python script. This error message indicates that the Python interpreter was …

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Python Exit For Loop with Example Programs

Python Exit For Loop

Programmers use for loops in Python to efficiently rerun their program until they acquire the exact series of outputs. Occasionally, an external element may affect the execution of your application. …

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Python String isalpha() Method with Advanced Examples

isalpha Python

What is Isalpha() method in Python? The isalpha() method is used to know whether the characters in the string are only alphabets. The word “alpha” in the isalpha() method means …

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Modulenotfounderror: no module named ‘gurobipy’

modulenotfounderror no module named 'gurobipy'

The modulenotfounderror: no module named ‘gurobipy’ error message usually occurs when you are using a Gurobi optimization solver in your Python programs. We understand that sometimes errors are quite annoying, …

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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.