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Mental Health Prediction Using Machine Learning: Building an Explainable AI Web Application

Machine learning is increasingly being explored for applications in healthcare and wellbeing. However, building an ML model for a sensitive domain such as mental health requires more than simply achieving a high accuracy score. I developed a Mental Health Prediction & Assessment System that combines machine learning, PHQ-9 screening, Explainable AI and a Flask-based web application. The project is available on GitHub: https://github.com/starJeet000/Mental-Health-Prediction-Using-Machine-Learning What Is the Project? The application is designed as an educational and preliminary screening system that evaluates mental-health-related information and produces a risk prediction. It combines an ML-based prediction system with a standardized PHQ-9 questionnaire. The purpose is not to replace mental-health professionals but to demonstrate how machine learning can be incorporated into a complete software application. Machine Learning Model Several classification algorithms were tr...
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Mandatory Skills Every Tech Professional Should Have on Their Resume

A technology resume is more than a collection of programming languages and frameworks.

Recruiters want to understand what you can actually build, how you solve problems, and whether you can work with the tools used in modern software development.

If you're preparing a resume for a software developer, web developer, DevOps engineer, data professional, or other technology role, these are the major skill categories you should consider including.

1. Programming Languages

Start with the programming languages you actually know.

Depending on your career path, these might include:

  • JavaScript
  • TypeScript
  • Python
  • Java
  • C++
  • C#
  • Go
  • PHP

Don't add every language you've ever watched a tutorial about.

If an interviewer asks you to solve a problem using a language listed on your resume, you should be comfortable using it.

2. Frameworks and Libraries

Framework knowledge is important because modern software development rarely involves building everything from scratch.

Examples include:

  • React
  • Next.js
  • Angular
  • Vue
  • Node.js
  • Express
  • Django
  • Spring Boot
  • .NET

More importantly, demonstrate how you've used these technologies.

A project is much stronger evidence than simply listing a framework under "Skills."

3. Databases

Most applications need persistent data.

Your resume can include database technologies such as:

  • PostgreSQL
  • MySQL
  • MongoDB
  • Redis

You should also understand fundamental concepts such as database design, relationships, indexes, queries, transactions, and basic performance optimization.

4. APIs and Backend Development

Modern applications communicate constantly with other services.

Important concepts include:

  • REST APIs
  • HTTP methods
  • JSON
  • Authentication
  • Authorization
  • API integration
  • Error handling
  • Rate limiting
  • API security

If you're a full-stack developer, these skills are especially important.

5. Git and GitHub

Version control is one of the most practical skills a developer can have.

You should understand:

  • Commits
  • Branches
  • Merging
  • Pull requests
  • Merge conflicts
  • Code reviews
  • Repository management

A GitHub profile containing meaningful projects can also provide evidence that you actually use these skills.

6. Cloud Computing

You don't need to become a cloud architect before applying for your first developer job.

However, basic knowledge of at least one major cloud ecosystem can be useful.

Examples:

  • AWS
  • Microsoft Azure
  • Google Cloud

Also understand basic concepts such as hosting, DNS, HTTPS, environment variables, secrets, and deployment.

7. Docker and DevOps

Developers increasingly interact with deployment and infrastructure.

Useful fundamentals include:

  • Docker
  • Docker Compose
  • CI/CD
  • GitHub Actions
  • Linux
  • Deployment
  • Monitoring
  • Environment configuration

Even basic knowledge can help you understand how an application moves from development to production.

8. Testing and Debugging

A developer's job isn't finished when the code compiles.

You should be able to:

  • Debug errors
  • Read logs
  • Understand stack traces
  • Write basic tests
  • Test APIs
  • Identify bugs
  • Improve code quality

Testing knowledge is especially useful when working on larger applications.

9. Cybersecurity Fundamentals

Security is relevant to almost every modern application.

Developers should understand fundamentals such as:

  • Authentication
  • Authorization
  • Password hashing
  • Session security
  • JWT
  • HTTPS
  • Input validation
  • Secure API design
  • OWASP Top 10

You don't have to be a cybersecurity specialist to write more secure software.

10. AI and AI-Assisted Development

AI has become another useful tool in the modern developer's toolkit.

Depending on your role, you might learn:

  • LLM APIs
  • AI-assisted coding
  • Prompt engineering
  • AI automation
  • Retrieval-Augmented Generation (RAG)
  • AI API integration
  • Basic model evaluation

However, avoid claiming expertise simply because you've used an AI chatbot.

Show what you actually built with AI.

11. Data Structures and Algorithms

Technical interviews often test problem-solving ability.

At minimum, understand:

  • Arrays
  • Strings
  • Hash maps
  • Linked lists
  • Stacks
  • Queues
  • Trees
  • Graphs
  • Sorting
  • Searching
  • Big-O complexity

You don't need to memorize hundreds of problems.

Focus on understanding how to approach unfamiliar problems.

12. Software Engineering Practices

Technical skills aren't limited to programming languages.

Your resume can also demonstrate knowledge of:

  • SDLC
  • Agile/Scrum
  • Code reviews
  • Documentation
  • Clean code
  • Design patterns
  • System design fundamentals
  • Collaboration
  • Technical communication

These skills become increasingly important as you work on larger teams and applications.

Don't Just List Skills — Prove Them

One of the biggest mistakes developers make is creating a massive skills section without demonstrating those skills anywhere else.

For example:

Weak:

React, Node.js, MongoDB, Docker, AWS

Stronger:

Built and deployed a full-stack application using React and Node.js, designed MongoDB data models, implemented authenticated REST APIs, containerized the application with Docker, and configured automated CI/CD deployment.

The second version tells the recruiter what you actually did.

Your Projects Are Your Proof

If you're a fresher, your projects can compensate for your lack of professional experience.

Try to build projects that demonstrate multiple skills simultaneously.

For example, a single full-stack project could demonstrate:

  • React
  • Node.js
  • Express
  • MongoDB
  • REST APIs
  • Authentication
  • Git
  • Docker
  • Testing
  • Deployment

This is much more valuable than creating 10 tiny projects that each demonstrate only one technology.

Final Checklist

Before submitting your tech resume, ask yourself:

Programming: Can I confidently use the languages I've listed?

Frameworks: Have I built something with them?

Database: Can I design and work with application data?

APIs: Can I build or consume APIs?

Git: Can I work with a real Git workflow?

Deployment: Can I deploy an application?

Testing: Can I find and fix bugs?

Security: Do I understand basic application security?

AI: Can I use AI tools or APIs productively?

Problem solving: Can I solve unfamiliar programming problems?

Projects: Can I prove my skills with real work?

The goal of a good technology resume isn't to contain the most skills.

It's to contain the most credible evidence of useful skills.

Don't make your resume a list of technologies. Make it a record of what you can build.

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