Hangman Game In C With Source Code
The hangman game code in c is developed using C programming language. This hangman game in c programming is about guessing letters (A-Z) to form the words. A hangman game is a …
Pacman Game in C with Source Code
C is the programming language that was used in the creation of the Pacman game project in C with source code. While attempting to find your way through a labyrinth, …
Snakes and Ladders Game in C Language with Source Code
The Snakes And Ladders Game project in C With Source Code is developed using C programming language. This simple Game is good for the students or beginners who wants to learn …
Payroll Management System Project in PHP with Source Code
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Bus Reservation System Project In C With Source Code
The Bus Reservation System In C Language With Source Code is developed using C programming language. In this bus reservation system in c helps the user to reserve bus tickets. A source …
Snake Game Program In C With Source Code
The Snake Game with Source Code is developed using C programming language. This snake game in c is a basic console program with no graphics. And this snake game in c …
Online Admission System Project In PHP MySQL Source Code
About the Project The Online Admission System Project In PHP MySQL is for students in the college in every incoming first year in the IT department in which students register …
Customer Billing System Project in C With Source Code
The C Program For Customer Billing System is a simple console application designed to demonstrate the practical use of the C programming language and its features as well as generate …
Online Book Store Project In PHP With Free Source Code
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Phone Book Management System In C With Source Code
The Phone Book Management System project is developed in the C programming language. It allows you to perform simple phonebook operations like on your mobile. You can add, list, modify, …
Gym Management System Project In PHP With Source Code
Gym Management System Project In PHP helps fitness businesses keep track of memberships, schedules, and facilities. Gym management systems can do things like store information about members in a database, …
Comment System in PHP MySQL with Source Code
A Comment System In PHP lets users leave comments on a website, usually below a news article or blog post. Comment systems let people interact with a website by posting …
Facebook Like Notification PHP MySQL With Source Code
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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.