Online Tour and Travel Management System Project in PHP
Online Tour and Travel Management System Project in PHP is a way to organize a lot of different things, like researching the tour destination, planning the tour, making travel plans, …
Cafe Billing System in C# with Source Code
The Café Billing System in C# is a simple C# Language-developed desktop application. The project is based on the idea of generating the receipt of a client’s total bills. Speaking …
C# Inventory Management System with Source Code
The Inventory Management System is developed using C#, this inventory system in C# is a simple mini project for managing the stock master, stock out, return stocks, etc. An Inventory …
Online Blood Bank Management System in PHP with Source Code
About the Project This Blood Bank System Project in PHP is a simple project created using PHP, JavaScript, Bootstrap, and CSS the Blood Bank Framework In PHP. There is an …
Simple Calculator in C# With Source Code
Hello Guys! This Source code is all about Calculator in C# and it is free to download. This Source code can be used by the programmers who want t develop the …
Payroll Management System Project in C# with Source Code
The Payroll Management System Project is developed using C#, this project is a simple mini project for managing the employee’s record as well as their payroll. The Payroll Management System …
School Management System in C# with Source Code
It is an advanced School Management System Project with a front end written in C#.net 4.0 and a back end written in SQL Server 2008. This software is used to …
Theatre Seat Reservation System Project in C with Source Code
The Theater Seat Booking System in C is based on the idea of users/customers booking theater seats for their movie show. Users can book theater seats quickly and easily on …
Jewelry Store Management System Project in C with Source Code
The Jewelry Store Management System in C is a project that allows you to manage your jewelry store. The system will maintain your jewelry detail such as Name, Material, Price, …
Electricity Bill System Project in C with Source Code
To construct an Electricity Bill System in C, you’ll need to use the C programming language and a file management database. The following C project has all of the elements …
Movie Ticket Booking System in C with Source Code
This Movie Ticket Booking System Project in C concept of the Simple Movie Ticket Booking System is to book movie tickets. This system does not have a login system, thus …
Bike Rental System Project in C with Source Code
The C project for a bike rental management system is built on the idea of creating rental records, adding details, and updating them. Users can provide information about their bikes …
Product Management System Project in C with Source Code
Product management system in C is specially designed for the purpose of adding Product details. The system elaborates the basic concept for storing and generating product’s detail. In this system, staff …
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.