7 Programming Projects for Your Resume

Why include programming projects on your resume?

Whether you’re new to coding or a seasoned programmer, including projects on your resume highlights your skills and experience to employers, helping you stand out from the competition. It also shows that you’re:

• Self-motivated and able to finish a challenging task from start to finish
• Actively using your programming skills
• Continuing to learn new frameworks and languages

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Programming projects to make your resume stand out

Here are some popular programming projects to include on your resume:

1. An online portfolio

An online portfolio shows your work in one place and makes it easy for employers to review your skills. Use it to highlight your strongest projects, explain your process, and demonstrate the results you achieved.

Include a link to your portfolio in your resume header or contact section so employers can access it quickly.

What to include in your portfolio:

• A short description of each project
• Technologies and tools used (e.g., Python, React, SQL)
• Your role and contributions
• Measurable results (if available)
• Links to live demos or GitHub repositories

2. Websites

Building websites shows your ability to design, develop, and launch functional products. Employers look for clean code, responsive design, and user-focused features.

Include website projects that match the role you’re applying for. Focus on the technologies you used, the problems you solved, and the results you achieved.

If possible, link to a live version of the site or your GitHub repository so employers can review your work.

What to highlight:

• Frontend and backend technologies (e.g., HTML, CSS, JavaScript, React, Node.js)
• Key features (e.g., user authentication, payment systems, dashboards)
• Performance improvements or optimizations
• Any measurable impact (traffic, conversions, load time improvements)

3. Utility mobile or web applications

Utility apps show your ability to solve real problems with practical tools.

Choose apps that demonstrate clear use cases, such as productivity tools, trackers, or automation tools. Focus on how your app works, the technologies you used, and the value it provides to users.

Include a link to the app or repository so employers can review your work.

What to highlight:

• Core functionality and purpose of the app
• Technologies used (e.g., React Native, Flutter, Django, Firebase)
• Key features (e.g., data storage, notifications, integrations)
• Performance improvements or user impact

4. Games

Game development shows your ability to solve complex programming problems and build interactive systems.

Include games that highlight your technical skills, such as physics engines, AI behavior, or real-time interactions. Link to a playable version or repository so employers can test your work.

What to highlight:

• Game engine or framework (e.g., Unity, Unreal Engine, Pygame)
• Core mechanics (e.g., physics, collision detection, AI behavior)
• Performance improvements or optimizations
• User engagement or feedback (if available)

5. An API

Building an API shows your ability to handle data and connect applications.

Include APIs that solve a clear problem, such as managing data, integrating third-party services, or supporting a web or mobile app. Add a link to your documentation or repository so employers can review your code and endpoints.

What to highlight:

• Technologies used (e.g., Node.js, Express, Django, Flask)
• API design (RESTful or GraphQL)
• Key features (e.g., authentication, data processing, integrations)
• Performance improvements or scalability

6. Web scraping

Web scraping projects show your ability to collect and process large sets of data. They also demonstrate problem-solving skills, especially when working with messy or constantly changing sources.

Focus on projects where you gathered useful data and turned it into something meaningful, such as insights, reports, or automated workflows. Employers want to see how you handled data extraction, cleaning, and analysis.

Include a link to your code or output so employers can understand your approach.

What to highlight:

• Tools and libraries used (e.g., Python, BeautifulSoup, Scrapy, Selenium)
• Type of data collected and how you used it
• Any automation or scheduling features
• Results, such as improved efficiency or insights generated

7. Machine learning

Machine learning projects show employers that you can go beyond basic programming and apply advanced techniques to real-world scenarios.

Include projects where you trained a model, evaluated its performance, and used the results to make decisions or improve outcomes. Link to your code, dataset, or notebook so employers can review your work.

What to highlight:

• Algorithms or models used (e.g., regression, classification, neural networks)
• Tools and frameworks (e.g., Python, TensorFlow, PyTorch, scikit-learn)
• Data preprocessing and feature selection
• Model performance (accuracy, precision, recall, etc.)

How to add programming projects to your resume

Here are three different ways to feature programming projects on your resume:

Option 1: Make a dedicated projects section

Create a separate Projects section and format it like a work experience section. This approach works well if you have limited professional experience or if your projects closely match the job requirements.

Use clear titles and structured bullet points to show what you built, how you built it, and the results you achieved.

Include the following for each project:

• Project name
• Technologies used (e.g., Python, React, SQL)
• Link to GitHub, portfolio, or live demo
• Brief description of the project
• Key achievements or results (use metrics when possible)

For example:

Option 2: Mention projects in your work experience section

Include projects as part of your work experience if they are closely related to the job you’re applying for. List the project under the relevant job or role and describe your contributions.

For example:

Option 3: Include projects in your education section

Add projects to your education section if you completed them as part of coursework, bootcamps, or certifications. List the project under your degree or program and briefly describe what you built and the skills you used.

For example: