What are Checked and Unchecked Exceptions in Java?
What are Checked Exceptions in Java? In Java, a checked exception, also called a logical exception, is something that has gone wrong in your code but might be fixable. At …
How To Apply Border And Shading In MS Word
This lesson will go over how to apply with borders and shades in Word. In Microsoft Word, you can add a border to any or all of the four sides …
Print Dialog Box in VB.net – Properties, Methods and Events
It is an important dialog control that lets the user choose sections of a document and then choose a printer to print pages from a Windows Forms application. In VB.net …
OpenFile Dialog Box in VB.net – Properties and Methods
What is OpenFile Dialog Box in VB.net? The OpenFile Dialog box in VB.net has a list of files and folders from which the user can choose the files needed to …
Variable Arguments in C Language with Examples
C Variable Arguments: Sometimes you might need a function that can take any number of arguments, or parameters. Using the C programming language, you can build a function that can take …
How to Apply Bullets and Numbering in MS Word
In this lesson, you will learn how to apply bullets and numbering in MS Word. You can use bullets and numbers in Microsoft Word to put a list of things in …
Recursion in C Language with Advanced Example
What is Recursion in C? In a simple understanding, Recursion in C is the process of a function calling a copy of itself. To put it briefly, recursion is the …
Font Dialog Box in VB.net – Properties, Methods and Events
What is Font Dialog in VB.net? A Font Dialog in VB.net is used to choose a font from a system’s installed fonts. Please keep in mind that a FontDialog may …
Color Dialog Box in VB.net – Properties, Methods and Events
What is Color Dialog Box in VB.net? The Color Dialog Box in VB.net is used to show the Color Dialog Box and let the Microsoft Windows Application user choose colors. …
Java.io Package In Java – Import, Classes, Stream, Byte and API
What is the Java.io package? The java.io package In Java has almost every class you could ever need to do I/O (input and output) in Java. All of these streams …
How to Handle errors in C Language
Error handling in C is not directly supported by C programming, but as a system programming language, it does give you access at a lower level in the form of …
Different Ways on How to Indent Paragraph in Word
In this course, we will learn the ways on how to indent paragraph in Microsoft Word. Meanwhile, this is the continuation of the previous tutorial on how to align text …
Dialog Boxes in VB.net – Color, Font, OpenFile and Print
What are Dialog Boxes in VB.net? Dialog Boxes in VB.net is a temporary window for an application that lets you open or save a file, get notifications, alert messages, change …
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.