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 Fuzzy Logic Bike Speed Control via Fuel Delivery in MATLAB project with source code and documentation
Fuzzy Logic Bike Speed Control via Fuel Delivery in MATLAB

Category: Engineering | Type: Example Project

Fuzzy Logic Bike Speed Control via Fuel Delivery in MATLAB is an essential topic in modern research and applications. This article explores the key co...

MATLAB Battery charging and discharging control using fuzzy logic in matlab. project with source code and documentation
Battery charging and discharging control using fuzzy logic in matlab.

Category: Engineering | Type: Example Project

Battery charging and discharging control using fuzzy logic in matlab. is an essential topic in modern research and applications. This article explores...

MATLAB Fuel cell and battery management simulation using MATLAB project with source code and documentation
Fuel cell and battery management simulation using MATLAB

Category: Engineering | Type: Example Project

Fuel cell and battery management simulation using MATLAB is an essential topic in modern research and applications. This article explores the key conc...

MATLAB Forecasting using Deep learning LSTM network in MATLAB project with source code and documentation
Forecasting using Deep learning LSTM network in MATLAB

Category: Engineering | Type: Example Project

Forecasting using Deep learning LSTM network in MATLAB is an essential topic in modern research and applications. This article explores the key concep...

MATLAB Food data analysis using MATLAB | MATLABSolutions project with source code and documentation
Food data analysis using MATLAB | MATLABSolutions

Category: Engineering | Type: Example Project

Food data analysis using MATLAB | MATLABSolutions is an essential topic in modern research and applications. This article explores the key concepts, t...

MATLAB MATLAB Fingerprint Minutiae Extraction | Image Processing project with source code and documentation
MATLAB Fingerprint Minutiae Extraction | Image Processing

Category: Engineering | Type: Example Project

MATLAB Fingerprint Minutiae Extraction | Image Processing is an essential topic in modern research and applications. This article explores the key con...

MATLAB Fingerprint & Signature Recognition System in MATLAB project with source code and documentation
Fingerprint & Signature Recognition System in MATLAB

Category: Engineering | Type: Example Project

Fingerprint & Signature Recognition System in MATLAB is an essential topic in modern research and applications. This article explores the key concepts...

MATLAB Signal preprocessing : feature extraction MFCC using MATLAB project with source code and documentation
Signal preprocessing : feature extraction MFCC using MATLAB

Category: Engineering | Type: Example Project

Signal preprocessing : feature extraction MFCC using MATLAB is an essential topic in modern research and applications. This article explores the key c...

MATLAB Face Recognition in MATLAB: Code, Examples & Video Tutorial project with source code and documentation
Face Recognition in MATLAB: Code, Examples & Video Tutorial

Category: Engineering | Type: Example Project

Face Recognition in MATLAB: Code, Examples & Video Tutorial is an essential topic in modern research and applications. This article explores the key c...

MATLAB Face Recognition System in MATLAB project with source code and documentation
Face Recognition System in MATLAB

Category: Engineering | Type: Example Project

Face Recognition System in MATLAB is an essential topic in modern research and applications. This article explores the key concepts, techniques, and p...

MATLAB Estimation of Battery Soc using MATLAB project with source code and documentation
Estimation of Battery Soc using MATLAB

Category: Engineering | Type: Example Project

Estimation of Battery Soc using MATLAB is an essential topic in modern research and applications. This article explores the key concepts, techniques, ...

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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