Chat Program In Java With Source Code
The Chat Program in Java is a fully functional desktop application written in the Java programming language and MySQL Database. This Chat Program is made using graphical components in the Swing toolkit …
College Management System Using Django with Source Code
This College Management System Project in Django can manage the attendance, manage classes, manage a department, manage courses, time table, manage students’ attendance, manage teachers, manage users, and manage marks. The system …
Multiplication Table In Python With Source Code
The Multiplication Table In Python is written in python programming language, In this tutorial you can learn on how to Display Multiplication Table In Python. A Multiplication Table Python Program …
Django Filter Search with Source Code
The Django Search Filter is easy for users to manipulate. First, the user inputs their first name and last name and clicks the submit button. The data entered is then …
Address Book Project In Python With Source Code
The Address Book Project In Python is written in Python programming language, this Address Book Python Project is an interesting project. The user can add the phone number of contact details …
Django Insert Data Into Database With Source Code
The Django Insert Form Data Into Database is easy to manipulate by the user, first the user will input their first name, last name and address into the form after …
Snake Game In Java With Free Source Code
The Snake Game in Java was developed using Java Programming. This game is good for students or beginners who want to learn programming. A Snake game is an older classic video …
Order Management System Project in Django with Source Code
This Order Management System Django web application can manage the customer order, manage delivery, manage product, and can manage update order and confirm order of the customer and inventory management …
Django Blog Application with Source Code
A Blog application in Django contains all the features of a Blog site like login/registering into the system, adding a blog post with title, description, and image, and editing or …
Tic Tac Toe In Python With Source Code
The Tic Tac Toe In Python is written in Python programming language, this Tic Tac Toe Game In Python is a simple GUI based strategy game board that is very …
Django Music Streaming App with Source Code
This Music Streaming App Using Django Framework It’s an advanced music streaming software that enables users to log into the system, users can add their albums and can add their …
Voting System Project in Django with Source Code
This voting system with charts using the Django framework uses the JavaScript APIs chart to create an interactive voting results chart. The Voting System Project Using Django Framework includes all the …
Django Note Taking App With Source Code
A Django Notes App users should be able to see or modify other users’ posts (in case this application gets deployed on a web browser or web framework), this Django …
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.