Insert Row Shortcut In Excel In Less Than A Minute
In this tutorial, we will know how to insert rows with its shortcut in Excel. Adding or inserting rows in Excel is easy if you know to do the shortcut. …
Superscript in Excel Easy Method and Shortcut
In this tutorial, we will explain and show what is superscript in Excel. As well as methods and shortcuts to add superscript easily and quickly. If you are finding how …
How To Add Axis Titles In Excel In Less Than A Minute
In this tutorial, we are going to learn how to add axis titles to charts in Excel. Aside from that, we will also learn how to format axis titles. As …
PHP Get Class Name with Advance Example
In this tutorial, we will learn the PHP get class by name with the help of an example. What is get_class in PHP? A get_class is a built-in function in …
Data Series In Excel How To Add, Change, Remove In A Chart
In this tutorial, we will explore and dig up more ideas regarding how to add, change, and remove data series in Excel from your chart. Working in Microsoft Excel, whether …
How To Make A Scatter Plot In Excel In Simple Steps
In this tutorial, we are going to learn how to create a scatter plot using Excel. Aside from that, we are also going to study its definition as well as …
How To Create An Area Chart In Excel Easy Guide With Example
In this tutorial, we will explore how to make or create an area chart in Excel. Choosing the perfect chart for your graphical presentation is not easy, when you have …
How To Make A Line Chart In Excel With Guide and Example
In this tutorial, we will demonstrate how to make or create a line chart in Excel with an example. Excel helps us make our workbook much easier and better. Do …
Subscript in Excel Quick Method To Add With Shortcut
In this tutorial, we will know how to do subscripts in Excel as well as its shortcuts. Also, we will explain subscripts and superscripts in Excel. If you are wondering …
How To Make A Pie Chart In Excel In A Minute
In this pie chart tutorial in Excel, we are going to learn how to make or create one in just a minute or less. Unlike any other chart, such as …
ISNA Excel Function With IF and VLOOKUP Formula
In this tutorial, we will explain ISNA Excel function and how it handles #N/A errors. Along with other functions such as MATCH, IF and Vlookup we will determine how this …
How To Create A Clustered Column Chart In Excel With Example
In this tutorial, we will discuss what a clustered column chart is in Excel, how to create it, and how to use it. Of course, we will guide you from …
Excel Solver Add-in How To Add And Use With Examples
In this tutorial, we will know what is Excel solver add-in, and how to add it in Excel. Along with a sample on how to use it with a few …
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.