How to check if an element is focused in JavaScript
One of the typical task that occurs when working with JavaScript is checking if an element on a web page has the focus. The focus refers to the element that …
A smarter way to learn JavaScript: 15 Quick Learning Methods
Today, we will explore a smarter way to learn JavaScript in a simple yet effective way. JavaScript is a computer programming language that is important for creating websites. It is powerful and …
Swift vs JavaScript Performance Differences: Which one is better?
In this article, we’ll talk about the performance differences between Swift vs JavaScript, which are two popular programming languages with different purposes and characteristics. We’ll explore their features, uses, and how …
Three (3) Ways On How To Run A JavaScript File
What is a JavaScript file? How to run a JavaScript file? In this article, we will explore the different methods on how to run a JavaScript file, providing you with …
How to call JavaScript function in html without button
One of the frequent works is calling JavaScript functions in HTML. While many developers are familiar with calling functions using buttons, there are cases where you may need to trigger …
How to Update Value in JavaScript
One of the common work that developers usually encounter is updating values in JavaScript. The simplest methods to update all values within an object are the following: Here’s an example …
Exploring How To Make JavaScript API Call
This article aims to provide a complete guide on how to make JavaScript API calls, empowering developers to harness the full potential of web APIs and enhance their applications’ functionality. …
How to remove numbers from string in JavaScript
In JavaScript programming, there are common situations where you need to employ strings and remove specific characters or elements from them. One of the simple tasks is to remove numbers …
How to replace or remove all spaces from a string in JavaScript?
If you want to replace or remove spaces from a string in JavaScript, keep reading! There are times when you need to get rid of or change all the spaces in …
JavaScript Check If String Is Number: Understanding the Basics
Checking if a string is a number in JavaScript is an essential task in many web development projects. Basically, working with JavaScript, it’s crucial to differentiate between strings that represent …
Will JavaScript Containers Overtake Linux Containers? Pros/Cons
As JavaScript continues to gain popularity among developers, will JavaScript containers overtake Linux containers? We will answer this question below. You just have to keep on reading! This article explores the …
Understanding What Is JavaScript HashSet
In this article, we will explore the concept of HashSet in JavaScript, explore how to use it, and differentiate other key terms. Whether you’re a seasoned JavaScript developer or just …
How to find common elements in two arrays JavaScript
In JavaScript programming, working with arrays is a typical task for web developers. There are times when you need to find the simple elements between two arrays, which can be …
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.