Modulenotfounderror: No Module Named ‘imblearn’ [SOLVED]
This article will show you how to solve the error “modulenotfounderror: no module named ‘imblearn’” in Python. Aside from that, we will also discuss with you the meaning of “imblearn.” …
Modulenotfounderror: no module named elasticsearch [Solved]
In this article, we will show how to solve Modulenotfounderror: no module named elasticsearch. Along with step by step guide in order to understand what causes this error. Why Modulenotfounderror: …
Modulenotfounderror: no module named ‘flask._compat’
This article will solve the “modulenotfounderror: no module named ‘flask._compat’” error message. That you encounter when working on your Flask project, especially when you are new to using Python. Fortunately, …
How To Make A Venn Diagram In PowerPoint
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How To Add Notes To PowerPoint: Quick And Easy Guide
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modulenotfounderror: no module named imwatermark
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Keyboard Shortcuts On PowerPoint Presentations
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Modulenotfounderror: no module named cryptography
In this article, we will give the solutions to the error encountered of many programmers which is the no module named ‘cryptography’. Why does modulenotfounderror: no module named ‘cryptography’ occur? …
[Solved 2026] ModuleNotFoundError: No module named ‘_cffi_backend’ Fix
In this article, we will learn the solutions on how to solve the modulenotfounderror no module named _cffi_backend. Why does error occur? The no module named ‘_cffi_backend’ occurs because the …
Presenters View In PowerPoint Everything You Need To Know
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Modulenotfounderror: no module named ‘_sqlite3’
In this article, we will discuss the solutions on how to solve the error no module named _sqlite3. The python error message no module named ‘_sqlite3’ is a frequent error …
How To Embed A Video In A PPT Step by Step Guide
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What is a Pivot Table used for and Its Benefit’s in Excel?
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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.