Lane Detection OpenCV Python With Source Code
Lane Detection OpenCV Python With Source Code The Lane Detection OpenCV Python Code was developed using Python OpenCV, Self Driving Car is one of AI’s most innovative technologies. Self Driving …
Machine Learning Projects with Source Code: 23+ Free AI & CV Capstones for BSIT Students (2026)
itsourcecode.com hosts 23+ free Machine Learning capstone projects with full source code (2026): the technical foundation under our broader AI Projects hub. This collection focuses on the algorithm-level patterns (CNN, classification, recommendation systems, computer vision) that make up the building blocks of larger AI capstones. For higher-level capstones using LLMs, RAG, and agents, browse the parent AI Projects hub. For pure computer vision projects, see OpenCV Projects.
Why an AI/ML capstone wins the 2026 defense
Three reasons “AI” labeled capstones consistently outscore traditional management systems with the same effort: (1) Panel novelty bias: 2026 panels see 80% management systems. An AI project stands out before you even start defending. (2) Demo-friendly: face/hand/pose detection runs live in front of the panel with a webcam. Panels can verify the system works on the spot. (3) Industry relevance: every employer in 2026 wants AI experience. A capstone you can show in interviews compounds far longer than a school management system.
Featured ML/AI projects by capability
👤 Face & Identity (computer vision)
Extract Faces From Image
Eye Blink Counting Detection
✋ Hand, Pose & Body Tracking (MediaPipe)
Hand Landmark Detection
Volume Control via Hand Detection
Brightness Control via Hand Detection
Human Pose Estimation
Holistic Detection (body + face + hands)
📄 Document & Text Recognition
Document Scanner
Handwritten Digit Recognition (CNN)
Barcode and QR Code Reader
🚗 Driving & Lane Detection
Lane Detection (self-driving demo)
🎨 Image Processing & Filters
Canny Edge Detection
Live Sketch from Webcam
Cartoonify an Image
Image Blending
📐 Measurement & Geometric Analysis
Object Size Measurement
Angle Finder
Warp Perspective Transform
Shapes Detection
🎥 Capture, Display & Interaction
Screen Recorder
TrackBar (parameter tuning UI)
Mouse Click Event Handling
Pixel Picker
About this Machine Learning projects collection
Curated since 2015 by PIES Information Technology Solutions, Binalbagan, Negros Occidental, Philippines. Each project tested on Python 3.10+ with current OpenCV + MediaPipe before publishing. Used by 12,000+ BSIT students monthly.
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Best Python Projects with Source Code, 250+ Python capstones (parent collection)
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TrackBar OpenCV Python With Source Code
TrackBar OpenCV Python With Source Code The TrackBar OpenCV Python was developed using Python OpenCV, Trackbar is a GUI element that lets the user select a specific color value within a range of …
Shapes Detection OpenCV Python With Source Code
Shapes Detection OpenCV Python With Source Code The Shapes Detection OpenCV Python was developed using Python OpenCV , In this Shape Detection OpenCV Python project I am taking an image …
Live Sketch OpenCV Python With Source Code
Live Sketch OpenCV Python With Source Code The Live Sketch OpenCV Python was developed using Python OpenCV, In this Project we are going to make a Real-time/ live Sketch making script using OpenCV in …
Image Blending OpenCV Python With Source Code
Image Blending OpenCV Python With Source Code The Image Blending OpenCV Python was developed using Python OpenCV, This Project is Mixing up of two images. In this Article we will learn how image Blending works in OpenCV Python. …
Clicked Event OpenCV Python With Source Code
Clicked Event OpenCV Python With Source Code The Clicked Event OpenCV Python was developed using Python OpenCV, This Project With Source Code we will learn about Mouse Events in OpenCV Python. We …
Cartoonify an Image with OpenCV in Python With Source Code
Cartoonify an Image using OpenCV Python With Source Code The Cartoonify an Image OpenCV Python was developed using Python OpenCV, At the end of this article, we aim to transform …
Handwritten Digit Recognition In Python With Source Code
The Handwritten Digit Recognition In Python was developed using Python Deep Learning, we are going to implement a handwritten digit recognition app using the MNIST dataset. We will be using …
Object Measuring Size OpenCV Python With Source Code
Object Measuring Size OpenCV Python With Source Code The Object Measuring Size OpenCV Python was developed using Python OpenCV, the project provides a script to read an image and based …
Barcode and QR Code Reader or Scanner with OpenCV in Python
Barcode and QR Code Reader using OpenCV in Python With Source Code The Barcode and QR Code Reader OpenCV Python was developed using Python OpenCV. In this post, I will …
Frequently Asked Questions
Are these ML projects free for capstone and thesis use?
Yes. All projects are free to download, modify, and submit. No attribution required for academic use. Most are MIT-licensed. The underlying libraries (OpenCV, MediaPipe, TensorFlow, scikit-learn) are open source and free for any purpose.
Do I need a GPU for these projects?
No. Every project here runs on CPU. The face/hand/pose models use MediaPipe — designed for real-time CPU inference. The handwritten digit recognition CNN trains on CPU in under 5 minutes with MNIST. If you want to add a custom-trained model later, use Google Colab's free GPU for training and ship CPU inference in your capstone.
What is the difference between Machine Learning, Deep Learning, and Computer Vision?
Machine Learning is the broad field; algorithms that learn patterns from data (decision trees, k-means, SVM, neural networks). Deep Learning is a subset of ML using multi-layer neural networks (CNNs, Transformers). Computer Vision is the application domain (images and video); typically uses ML or deep learning under the hood. Most projects here are CV applications using pretrained deep-learning models. We have a separate Deep Learning Projects category for thesis-grade DL work.
Can I pass an ML/AI project as a full capstone?
Yes — if you wrap the core ML capability in a real-world application with users, data persistence, and reports. Examples: Face Recognition Attendance System (face detection plus database plus reports), Drowsiness Alert for Drivers (eye-blink detection plus audio alert plus log dashboard). Standalone ML demos without a domain shell are too thin for capstone scope.
OpenCV vs MediaPipe vs TensorFlow — when to use each?
OpenCV for video I/O, image processing (filters, edges, blending), and Haar-cascade detection. MediaPipe for state-of-the-art face/hand/pose landmark detection — designed for real-time CPU. TensorFlow / PyTorch for training custom models (image classification, custom object detection). Most projects here use OpenCV plus MediaPipe together — install: pip install opencv-python mediapipe.
What if Python 3.13 breaks OpenCV / MediaPipe?
Downgrade to Python 3.11 or 3.12 — stable wheels available for both. Python 3.13 dropped distutils and some ML library wheels lag behind. Use pyenv (macOS/Linux) or pyenv-win to manage multiple Python versions side-by-side.
How often is this ML projects list updated?
New ML/AI projects are added regularly. Last refreshed May 2026. 2026 additions: YOLO v8/v9 object detection, MediaPipe Tasks API, LangChain RAG demos.