Latest MATLAB Project Ideas & Solutions

Implement image compression algorithms using DCT in MATLAB to reduce storage requirements while maintaining image quality. Useful for multimedia and communication systems.

Analyze ECG signals to detect arrhythmias and other cardiac conditions using MATLAB signal processing and machine learning tools. This project can assist in early diagnosis and monitoring of heart diseases.

Design a MATLAB-based system to automatically detect and recognize vehicle number plates from images or video streams for traffic management and security applications.

Use MATLAB to build predictive models for weather forecasting using historical data and machine learning algorithms. This project can help in climate research and disaster management.

Develop a MATLAB application to track moving objects in video sequences, useful for surveillance, robotics, and sports analytics.

Build a speech recognition system in MATLAB capable of identifying spoken words or commands for automation, accessibility, and smart devices.

Segment medical images such as MRI or CT scans using MATLAB to assist in tumor detection and diagnosis, supporting healthcare professionals in clinical decision-making.

Simulate and optimize smart traffic light control using MATLAB to improve traffic flow and reduce congestion in urban areas.

Predict solar power generation using MATLAB and IoT sensor data for efficient energy management in smart grids and renewable energy systems.

Use MATLAB and neural networks to recognize handwritten digits, a classic machine learning and image processing project with applications in postal automation and banking.

Simulate wireless communication protocols and analyze their performance using MATLAB for research and education in telecommunications.

Detect plant diseases automatically from leaf images using MATLAB image processing and classification techniques, helping farmers and researchers in agriculture.

Design a MATLAB-based system to monitor and analyze water quality parameters for environmental and public health applications.

Predict stock market trends using MATLAB and machine learning models for financial analysis and investment strategies.