MATLAB Projects
with Source Code

100+ Free Examples for Students & Engineers

Download production-ready MATLAB projects with complete source code, Simulink models, and step-by-step documentation. Built for coursework, research, and career portfolios.

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What are MATLAB Projects with Source Code?

MATLAB Projects with Source Code are ready-to-run software implementations, mathematical models, and Simulink diagrams designed for engineering students and researchers. They cover fields like control systems, deep learning, signal processing, image processing, and robotics. Each project includes documented code, sample datasets, and step-by-step guides.

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MATLAB 13 Node Test Feeder simulation Projects Using MATLAB project with source code MATLAB

13 Node Test Feeder simulation Projects Using MATLAB

IntroductionMATLABSolutions demonstrate In this task we are going to design The Twelve Load Flow Bus blocks are used to compute an u…

MATLAB View & Download
MATLAB Handwritten Digit Recognition in MATLAB | MATLABSolutions project with source code MATLAB

Handwritten Digit Recognition in MATLAB | MATLABSolutions

Handwritten Digit Recognition in MATLAB is an essential topic in modern research and applications. This article explores the key concepts, techniques, and pract…

MATLAB View & Download
MATLAB Deep Learning for Wireless Modulation Classification project with source code MATLAB

Deep Learning for Wireless Modulation Classification

Automatic Modulation Classification (AMC) is a critical capability in cognitive radio networks, dynamic spectrum sharing, electronic surveillance, and software-…

Deep Learning View & Download
MATLAB Watkins-Johnson Converter using MATLAB project with source code MATLAB

Watkins-Johnson Converter using MATLAB

Watkins-Johnson Converter using MATLAB is an essential topic in modern research and applications. This article explores the key concepts, techniques, and practi…

MATLAB View & Download
MATLAB VR Digital Twin Driving Risk Analysis in MATLAB: Guide project with source code MATLAB

VR Digital Twin Driving Risk Analysis in MATLAB: Guide

Evaluating dangerous driving scenarios on physical test tracks is expensive, logistically complex, and hazardous for human test drivers. Sudden pedestrian cross…

MATLAB View & Download
MATLAB Twitter Sentiment Analysis with MATLAB & Machine Learning project with source code MATLAB

Twitter Sentiment Analysis with MATLAB & Machine Learning

Twitter Sentiment Analysis with MATLAB & Machine Learning is an essential topic in modern research and applications. This article explores the key concepts, tec…

MATLAB View & Download
MATLAB Earth-Moon Trajectory Propagation with MATLAB: Video project with source code MATLAB

Earth-Moon Trajectory Propagation with MATLAB: Video

Earth-Moon Trajectory Propagation with MATLAB: Video is an essential topic in modern research and applications. This article explores the key concepts, techniqu…

MATLAB View & Download
MATLAB Traffic Forecasting: MATLAB Modeling with Historical Data project with source code MATLAB

Traffic Forecasting: MATLAB Modeling with Historical Data

Accurate traffic forecasting is a cornerstone of modern Intelligent Transportation Systems (ITS), urban congestion mitigation, dynamic signal timing, and naviga…

MATLAB View & Download
MATLAB Tool Life Determination using MATLAB project with source code MATLAB

Tool Life Determination using MATLAB

Tool Life Determination using MATLAB is an essential topic in modern research and applications. This article explores the key concepts, techniques, and practica…

MATLAB View & Download
MATLAB MATLAB Syringe Control: PID & Fuzzy-PID Model | MATLABSolutions project with source code MATLAB

MATLAB Syringe Control: PID & Fuzzy-PID Model | MATLABSolutions

MATLAB Syringe Control: PID & Fuzzy-PID Model | MATLABSolutions is an essential topic in modern research and applications. This article explores the key concept…

Control Systems View & Download
MATLAB Enhance 8-bit Grayscale Images: Dynamic Range Stretching project with source code MATLAB

Enhance 8-bit Grayscale Images: Dynamic Range Stretching

Enhance 8-bit Grayscale Images: Dynamic Range Stretching is an essential topic in modern research and applications. This article explores the key concepts, tech…

Image Processing View & Download
MATLAB Step by Step Solar Power forecasting using Neural Network project with source code MATLAB

Step by Step Solar Power forecasting using Neural Network

Step by Step Solar Power forecasting using Neural Network is an essential topic in modern research and applications. This article explores the key concepts, tec…

Deep Learning View & Download

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Frequently Asked Questions

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! Beginner projects require minimal MATLAB knowledge and focus on core concepts like loops, functions, plotting, and basic matrix operations. Intermediate projects introduce Simulink and optimization. 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. We recommend using these as reference implementations. If you need custom project development, our expert team is available.
Step 1: Browse our collection below. Step 2: Click "View & Download" on any project. Step 3: Review the README for prerequisites. Step 4: Open the .m file in MATLAB. Step 5: Modify parameters and adapt the code. Need guidance? Check our MATLAB tutorials.
Each project includes: Documented source code (.m files with detailed comments), README file with setup instructions, Example datasets (if applicable), Results/outputs showing expected performance, and Explanatory notes. Many also include Simulink models.
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