What is TypeScript … Spread Operator and How to Use it?
What is (…) Spread Operator in TypeScript? The Spread Operator (…) in TypeScript allows you to expand iterable objects (such as arrays and objects) into individual elements. It is also …
TypeScript Optional Parameters: A Complete Guide
What is an Optional Parameters in TypeScript? The Optional Parameters in TypeScript are used to make certain function parameters optional. To denote a parameter as optional, simply add a question …
Parameters Utility Type in TypeScript: Examples and Usages
What is Parameters <Type>? The Parameters <T> utility type in TypeScript allows you to extract the arguments of a function and create a new type based on them. This is …
TypeScript vs JavaScript: Which One is Better to Use?
When you start your web development journey, deciding between TypeScript and JavaScript can make a big difference. In this article, we’ll talk about the differences between JavaScript vs TypeScript, which are …
TypeScript ReturnType: How to use the ReturnType Utility Type?
What is ReturnType in TypeScript? The ReturnType<Type>utility type retrieves the return type of a function. It allows you to extract the return type of a function. This can be particularly …
TypeScript Required: How to use Required Utility Type in TS?
What is Required Utility Type in TypeScript? The Required utility type is the opposite of Partial. It makes all optional properties in a type to be required. In a simple …
TypeScript Set: How to Use Set in TypeScript?
What is TypeScript Set? A “TypeScript Set” is a data structure that lets you store unique values of any type, whether they are primitive values or object references. It’s similar …
Understanding void in TypeScript: A Guide to the void Type Usage
What is “void” in TypeScript? A void in TypeScript is a type that represents the absence of a return value. It’s used as the return type for functions that do …
TypeScript readonly: How to use the TypeScript readonly?
What is TypeScript readonly? The Readonly utility type in TypeScript makes all properties of a type read-only, it simply means we cannot be reassigned after creation. Syntax: Let’s check out the example …
TypeScript Partial: How to use Partial Type TypeScript?
What is Partial in TypeScript? The partial utility type in TypeScript allows you to create a new type with all properties of the original type set as optional. It’s handy when you …
TypeScript Exclude: How to use Exclude in TypeScript?
What is TypeScript Exclude? The Exclude utility type in TypeScript is used to create a type by excluding certain types from another type. It’s like filtering out some types from …
TypeScript Record: How to use the Record Type in Typescript?
What is a TypeScript Record? The Record utility type in TypeScript allows you to create a new type with specified properties and their types. It’s useful when you want to …
A Complete Guide to Understand TypeScript Dictionary
TypeScript Dictionary A dictionary in TypeScript is a common data structure that lets you store data in key-value pairs. Unlike arrays that use numbers for indexing, dictionaries use keys which …
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.