TypeScript Casting: How to Perform Type Casting in TypeScript?
What is casting in TypeScript? Casting in TypeScript is the process of converting a variable from one type to another. This is often necessary when you’re certain about the type …
TypeScript Interface: Understanding the Interfaces in TypeScript
TypeScript Interface An Interface in TypeScript can be seen as a syntactical agreement that an entity is expected to abide by. To put it simply, an interface lays out the …
TypeScript Enum: A Complete Tutorial on Enums in TypeScript
What is enum in TypeScript? Enumerations, also known as enums, are a new kind of data type that TypeScript supports. Many object-oriented programming languages, such as Java and C#, utilize …
TypeScript Union Types: A Complete Guide for Beginners
What is union in TypeScript? A union type in TypesScript represents a value of multiple types. It is like a TypeScript tuple. However, in union type, we must use the …
TypeScript Tuple: A Complete Guide to Understand Tuples in TS
What is a tuple in TypeScript? A tuple in TypeScript is a special type of array where each element in the tuple can be of a different type. Tuples can …
Typescript Functions: Exploring TypeScript Function Type
What is a function in TypeScript? A function in TypeScript serves as the foundation for code that is easy to read, maintain, and use again. A function is essentially a …
Loops in TypeScript: Definite and Indefinite loops in TS
What are Loops in TypeScript? loops in TypeScript are a control structure that allows you to execute a block of code multiple times until a certain condition is met. Here’s …
TypeScript Decision Making with Examples
TypeScript has several types of decision-making statements. These statements are based on conditions that the program checks. In decision-making structures, the programmer must define at least one condition for the program …
TypeScript Data Types: Learn the Different Data types in TS
What are Data types in TypeScript? Data types in TypeScript are used to tell the variables the type of data they can store.TypeScript provides both built-in as well as user-defined …
TypeScript Overview: Brief Summary of the Features of TypeScript
What is TypeScript? Typescript is a high-level programming language that is both free and open-source and was created by Microsoft. In addition to that, TypeScript is a superset of JavaScript, which …
TypeScript Environment Setup: How to setup TypeScript?
TypeScript Environment Setup Typescript is free to use and works on any browser, host, or operating system. You can install TypeScript in three ways: as an npm module, a NuGet …
TypeScript String Format and Methods with Examples
TypeScript String A string in TypeScript is a primitive data type that’s used to store text data. A TypeScript string operates with a sequence of characters. String values are enclosed …
TypeScript Numbers: Exploring TypeScript Data Type “Numbers”
What is a TypeScript number? A number in TypeScript is a basic data type that represents numeric values. Here’s an easier way to understand it: How to Declare: You can …
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.