NOT Function in Excel With Formula And Useful Examples
In this tutorial, we will explain what is NOT function in Excel. We will also provide examples which will help to have a better understanding about this function. What is …
Excel Analysis Toolpak Guide How to Add and Install
In this tutorial, we will learn what is Excel Analysis Toolpak, as well as where we can find it. Along with we will know how to activate and install it …
SUMIFS Function In Excel With Example Formula & Criteria
In this tutorial, we will elaborate what is SUMIFS function can do in Excel worksheets. Along with different examples, formulas and different criteria where SUMIFS function can be used. What …
SUMIF Function in Excel Examples And How to Use
In this tutorial, we are plainly going to explain what is SUMIF function in Excel. Along with given examples and guide on how to use it. Given also different scenarios …
OR function in Excel With Example Formula
In this tutorial, we will elaborate OR function in Excel and indicate example formula using it. Along with you will learn how to use it together with other functions where …
AND Function in Excel How to use, Formula and Example
In this tutorial we are going to explain what is AND function of Excel and How to use it basically and with other functions. Along with are examples that will …
Excel Logical Function And, Or, Not & XOR
In this article we are going to learn logical function of Excel. Along with we will define and give examples of each logical function. Microsoft Excel we know offer a …
Bar Chart In Excel How to Create With Example
In this tutorial, we will learn how to create bar chart in Excel, along with creating different bar chart types and customizing chart appearance. Likewise other charts such as pies, …
How To Add Error Bars In Excel Simple Tutorial
This tutorial will demonstrate how to add error bars in excel. Also, how to create error bars, how to custom and make individually. Along with, the definitions and figures before …
Quick Analysis Tool In Excel How To Use And Where To Find
In this tutorial, we will learn quick analysis tools in Excel as well as how to use it and where we can find this tool. Fortunately, provides various ways to …
Offset Function in Excel With Examples, Uses & Formula
This tutorial will unfold the mystery about Offset function of Excel which syntax and arguments will be provided. As well as a guide on how to use it. Along with, …
What if Analysis in Excel A Begginers Guide
This tutorial will explain the What if Analysis in Excel and will give a guide for beginners. Also this will define the types of what-if analysis and its uses. What …
How To Merge Cells In Excel The Ultimate Guide
This guide will explain how to merge cells in Excel along with the step-by-step guide along with figures which are provided to acquire a better understanding. The common purpose of …
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.