Django Ecommerce with Source Code
An e-commerce website using Django is based on a basic shopping cart where the client can purchase all the items and perform a checkout for their order. This e-commerce Website …
Online Voting System Project In PHP With Source Code
The Online Voting System Project In PHP is a simple system developed PHP MySQL database, Using HTML, CSS, Bootstrap, JavaScript, Ajax, J Query, and Modal. The main purpose of the Voting System …
ATM Program In Python With Source Code
The ATM Program In Python is written in Python programming language, This Article ATM Software Python Project is a simple console-based system that is very easy to use. Talking about …
Tic Tac Toe in Java With Source Code
The Tic Tac Toe In Java is a Game Application developed using Graphical User Interface (GUI) in Java Programming Language. This Tic Tac Toe In Java Code is a simple …
[SOLVED] Error: Failed To Push Some Refs To
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Bank Management System Project in C++ with Source Code
The Mini Project Bank Management System in C++ is a consoled based application and created using C++ programming language. This system is a simple mini project and compiled in Code::Blocks IDE using GCC …
Django Login And Registration With Source Code
A Django Login And Registration features: the user can create their account and login their account into the system. This Django Login Page is good for the beginners who wants …
Django CRUD App With Source Code
A CRUD In Django Python is a simple web based project which is very easy to understand and use. The user can Create, Update and Delete their Date inside the …
Error: SRC Refspec Master Does Not Match Any [SOLVED]
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CRUD Operations In PHP With Source Code (Complete Guide)
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Django Todo List App With Source Code
A Todo List Django provides features such as login and register the models for all the users, proper authentication system, feature to update user’s profile and many more. Users can …
School Management System in Laravel With Source Code
The School Management System Project in Laravel is a web-based application. This system facilitates in the management of information on teachers, students, and other elements. Managing school and universities can …
Laravel Login Page With Source Code
This Login Page Laravel project is a web-based application program. I’ll show you how to set up Laravel login authentication in this tutorial. When the authentication credentials (for example, email …
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.