MATLAB Projects with Source Code

100+ Free Examples for Students & Engineers

Explore a diverse collection of high-quality MATLAB projects with complete source code, documentation, and real-world examples to accelerate your learning.

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MATLAB MATLAB: Classify Round Objects with bwboundaries Boundary... project with source code and documentation
MATLAB: Classify Round Objects with bwboundaries Boundary...

Category: Engineering | Type: Example Project

MATLABSolutions demonstrate In this task we are going to design To classify objects based on their roundness using bwbound...

MATLAB Monkey Species Classification with Deep Learning in MATLAB project with source code and documentation
Monkey Species Classification with Deep Learning in MATLAB

Category: Engineering | Type: Example Project

MATLABSolutions demonstrate classification of monkey species using deep learning in MATLAB. In ...

MATLAB Classification of Cardiovascular Disease using MATLAB project with source code and documentation
Classification of Cardiovascular Disease using MATLAB

Category: Engineering | Type: Example Project

MATLABSolutions demonstrate In this particular task, step-by-step guide This simulation discusses Electrocardiogram (ECG) ...

MATLAB Breast Tumor Classification Using Fuzzy Logic in MATLAB project with source code and documentation
Breast Tumor Classification Using Fuzzy Logic in MATLAB

Category: Engineering | Type: Example Project

Classification of Breast Tumors from Ultrasound Images Using Fuzzy Inference in MATLAB is a method that leverages computat...

MATLAB Charts and Quick Table calculations using Tableau software project with source code and documentation
Charts and Quick Table calculations using Tableau software

Category: Engineering | Type: Example Project

MATLABSolutions demonstrate In this particular task, step-by-step guide In this Project As it will be seen in the diverse ...

MATLAB Car Model in Simulink MATLAB project with source code and documentation
Car Model in Simulink MATLAB

Category: Engineering | Type: Example Project

This project will give good insights based on the car modeling part based on Simulink/ MATLAB ...

MATLAB Sigmoid Beam Buckling: Pasternak Foundation Analysis project with source code and documentation
Sigmoid Beam Buckling: Pasternak Foundation Analysis

Category: Engineering | Type: Example Project

MATLABSolutions demonstrate In this task we are going to design The model shows a 9 MW wind farm using asynchronous genera...

MATLAB Brain tumor detection using different machine learning algorithm using MATLAB project with source code and documentation
Brain tumor detection using different machine learning algorithm using MATLAB

Category: Engineering | Type: Example Project

MATLABSolutions demonstrate how to use the MATLAB software for simulation of Brain tumor segme...

MATLAB Brain Tumor Detection: MATLAB & Machine Learning Algorithms project with source code and documentation
Brain Tumor Detection: MATLAB & Machine Learning Algorithms

Category: Engineering | Type: Example Project

MATLABSolutions demonstrate how to use the MATLAB software for simulation of Brain tumor segme...

MATLAB Bitcoin Price Prediction: TensorFlow & Python with MATLAB project with source code and documentation
Bitcoin Price Prediction: TensorFlow & Python with MATLAB

Category: Engineering | Type: Example Project

MATLABSolutions demonstrate how to predict the bitcoin price by using past bitcoin price datas...

MATLAB Approximate nonlinear relationships of a type S thermocouple Projects using MATLAB project with source code and documentation
Approximate nonlinear relationships of a type S thermocouple Projects using MATLAB

Category: Engineering | Type: Example Project

MATLABSolutions demonstrate In this task we are going to design The thermocouple is one of the ...

MATLAB Application of Dc motor for developing Electric Bike using MATLAB Simulink project with source code and documentation
Application of Dc motor for developing Electric Bike using MATLAB Simulink

Category: Engineering | Type: Example Project

MATLABSolutions demonstrate Welcome to the DC Motor Simulation Project. This project involves ...

Frequently Asked Questions About MATLAB Projects

Our collection includes projects across multiple domains: control systems & automation (PID controllers, state-space design), signal processing (filtering, frequency analysis, Fourier transforms), neural networks & deep learning (CNNs, RNNs, classification), image processing (edge detection, segmentation), robotics (trajectory planning, kinematics), and data analysis (visualization, statistical modeling). Each project includes source code, documentation, and step-by-step explanations.

Yes! We organize projects by difficulty level. Beginner projects require minimal MATLAB knowledge and are designed to be completed in 30-60 minutes. They focus on core concepts like loops, functions, plotting, and basic matrix operations. As you progress, explore intermediate projects (2-5 hours) that introduce advanced functions, Simulink, and optimization techniques. Advanced projects target students pursuing research or specialized applications.

Our projects are designed for learning and inspiration. You can download, study, and modify the code to understand implementation techniques. However, directly submitting downloaded code without modification may violate academic integrity policies at your institution. We recommend using these as reference implementations, learning from their structure, and then building your own solution. If you need help understanding concepts or developing custom projects, our expert team is available.

Step 1: Browse our collection by category or difficulty level above. Step 2: Download the project files (includes source code and documentation). Step 3: Review the README file for prerequisites and setup instructions. Step 4: Open the .m file in MATLAB and follow the comments explaining each section. Step 5: Modify parameters, add your own features, or adapt the code to your specific problem. Need guidance? Check our MATLAB tutorials or reach out to our experts.

Each project includes: Documented source code (.m files with detailed comments), README file with setup & usage instructions, Example datasets (if applicable), Results/outputs showing expected performance, and Explanatory notes describing the algorithm and key implementation details. Many projects also include visualization examples and Simulink models for hands-on learning.
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