[Data]: Add AI Resume Analyzer starter project

[nirvani-nj]

Summary [required]

Added a new intermediate-level starter project called AI Resume Analyzer to the DevPath dataset.

This project teaches learners how to build a Flask-based resume analysis application using TF-IDF similarity, keyword extraction, PDF parsing, and beginner-friendly NLP concepts.

The starter project follows the existing DevPath educational style:

• single-file structure
• detailed documentation
• roadmap-based learning
• guided TODO sections
• beginner/intermediate-friendly explanations

The project allows users to upload or paste resume text, compare it against a job description, identify missing keywords, and generate actionable feedback without relying on external AI APIs.

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Related Issue [required]

Closes #325

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Type of Change [required]

• Bug fix — resolves a broken behaviour
• Feature — adds new functionality
• Data — adds new projects to data/projects.json
• Documentation — updates docs, README, or code comments only
• Style — CSS or visual changes only, no logic change
• Refactor — restructures code without changing behaviour
• Test — adds or updates tests

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What Was Changed [required]

File	Change made
data/projects.json	Added the AI Resume Analyzer project entry with roadmap, resources, features, and starter code path
starter_code/ai_resume_analyzer.py	Added a new educational Flask starter project with guided TODOs, TF-IDF explanations, keyword extraction logic, and resume analysis workflow

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How to Test This PR [required]

1. Clone this branch:
   git checkout feature/ai-resume-analyzer

2. Install dependencies:
   pip install flask PyPDF2 scikit-learn

3. Run the starter project:
   python starter_code/ai_resume_analyzer.py

4. Open:
   http://127.0.0.1:5000

5. Paste resume text and a sample job description into the UI.

Expected result:

• The Flask application starts successfully
• The frontend renders correctly
• Resume analysis workflow and educational TODO structure are visible
• No syntax or import errors occur

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Test Results [required]

27 passed, 0 failed out of 27 tests

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Screenshots (if UI change)

N/A

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Self-Review Checklist [required]

• I have read CONTRIBUTING.md and followed all guidelines
• My branch name follows the convention: feat/, fix/, docs/, data/, style/, test/
• I have run python tests/test_basic.py and all 27 tests pass
• I have run flake8 . locally and there are no errors
• I have not introduced any print() or console.log() debug statements
• Every new function I wrote has a docstring
• I have not modified files outside the scope of the linked issue
• If I changed the UI, I tested it at 375px (mobile) and 1280px (desktop)
• If I added a project to the dataset, it has all required JSON fields

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Notes for Reviewer

The project is intentionally designed as an educational starter project rather than a fully production-ready application, following the same learning-oriented structure used by existing DevPath starter projects such as url_shortener.py and task_api.py.

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