Typeerror fsevents is not a constructor [SOLVED]
The “typeerror fsevents is not a constructor” is an error message that occurs when working with “fsevents” module in Node.js. If you’re new to this and don’t know how to …
typeerror: ‘_io.textiowrapper’ object is not subscriptable
In this tutorial, we will discuss on how to solve the typeerror io textiowrapper object is not subscriptable. Also, you will learn What are the causes of the error and …
[Fixed] TypeError: Cant Subtract Offset Naive And Offset Aware Datetimes — Python
Encountering errors like typeerror: can’t subtract offset-naive and offset-aware datetimes can be frustrating. It is especially difficult when you are new to programming. However, don’t worry, as you are not …
How Long Does It Take To Learn Python?
In this tutorial, we will discuss on how long it takes to learn python. Python is a very worthwhile programming language to learn. The growing need for data scientists and …
How to Run a Python Script?
One of the best skills to learn is coding. This is a versatile skill that will come in handy for many reasons throughout the years. Particularly if you want to …
How to Create a Bouncing Ball in Python?
In this python game tutorial, I want to show you on How To Create A Bouncing Ball In Python Using PyGame. Which we can learn with the help of example …
How To Build A Chess Game In Python
In this tutorial, I want to show you How To Build A Chess Game In Python, which you can learn with the help of example source codes. What Is Chess …
How To Check Python Version
In this tutorial, we will learn on How To Check Python Version is a programming language with many different versions, categorized by their release date. It is very popular, and …
How to Print in Python?
Are you new to Python and wondering how to print in python? You may be looking to print in a different format. This guide will help you discover all your …
How To End A Program In Python
In Python, while you are creating a program, you might have to end this program after you have met the conditions. This article will act as a guide on the …
How To Comment In Python
In this tutorial, we will discuss the Comment In Python. Python prides itself in being a very easily understood programming language. When you are using Python to write code, it …
How To Reverse A String In Python
in this tutorial, we will discuss the the reverse a string in python. The Python is a wonderful coding language to learn. This highly versatile coding language can be used …
How To Add To A Dictionary In Python
In this tutorial, we will know to add to a Dictionary in Python. Coding languages rely on intense and interpretive coding to follow through on functions and keep websites. Other …
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.