AI Digital Footprint Analyzer

Analyze Resume, LinkedIn, and GitHub to generate an AI-powered Employability Score with career insights.

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Inspiration

Students and job seekers often struggle to understand how industry-ready they are. Their skills are spread across resumes, LinkedIn profiles, and GitHub portfolios. I wanted to create a single platform that could analyze all these sources and provide meaningful career insights.

What it does

AI Digital Footprint Analyzer evaluates a user's Resume, LinkedIn profile, and GitHub portfolio. It detects skills, calculates an Employability Score, identifies skill gaps, recommends career paths, and provides visual analytics through an interactive dashboard.

How I built it

The project was built using Python and Streamlit. PDFMiner is used for resume text extraction, FuzzyWuzzy for skill matching, Pandas and NumPy for data processing, Scikit-learn for analytical logic, and Matplotlib/Seaborn for visualizations and dashboards.

Challenges I ran into

One of the biggest challenges was combining data from multiple sources and creating a fair scoring system. Another challenge was keeping the application lightweight and fast while still providing meaningful insights and visualizations.

Accomplishments that I'm proud of

I successfully built a complete career analysis platform that combines Resume, LinkedIn, and GitHub evaluation into a single dashboard. The project provides actionable insights rather than just displaying raw information.

What I learned

I improved my skills in Python, Streamlit, data analysis, visualization, and project design. I also learned how to transform a real-world problem into a practical AI-powered solution.

What's next for AI-Digital-Footprint-An alyzer

Future improvements include AI-generated career roadmaps, job-role matching, personalized learning recommendations, internship matching, and integration with real LinkedIn and GitHub APIs for automatic profile analysis.

Built With

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Updates

posted an update —

Project Update – AI Digital Footprint Analyzer

We're excited to share the latest progress on AI Digital Footprint Analyzer!

Recent Improvements

  • Enhanced AI-powered digital footprint analysis for more accurate insights.
  • Improved dashboard design with a cleaner and more intuitive user experience.
  • Added interactive visualizations to help users better understand their online presence.
  • Optimized application performance for faster report generation.
  • Fixed bugs and improved overall stability.

Current Status

The core features are complete, and the project is now in the testing and refinement stage. We're focusing on improving usability, reliability, and presentation before the final submission.

Goal

AI Digital Footprint Analyzer aims to help users understand their online presence, identify potential privacy risks, and receive actionable recommendations through AI-driven analysis.

Stay tuned for the final demo and release!

LumaHackathon #Devpost #AI #MachineLearning #Python #Streamlit #CyberSecurity #DataScience

posted an update —

Final Submission – AI Digital Footprint Analyzer

We are excited to announce that our project is now complete and ready for submission!

Project Highlights

  • Resume scoring with ATS‑style analysis
  • LinkedIn + GitHub profile evaluation
  • Employability Score generation
  • Skill gap detection with personalized career path suggestions
  • Interactive recruiter‑friendly dashboard

Visuals & Screenshots

Clean Streamlit dashboards, workflow diagrams, and recruiter‑friendly UI have been fully integrated.

Tech Stack

  • Python for data processing
  • Streamlit for UI & deployment
  • NLP models (TF‑IDF, BERT) for resume parsing
  • GitHub API + LinkedIn data integration

Outcome

The AI Digital Footprint Analyzer has evolved from an idea into a fully functional platform.
It is now capable of evaluating resumes, LinkedIn, and GitHub profiles to generate an Employability Score, detect skill gaps, and suggest career paths.

This marks the final submission of our project.
We’re proud to share this tool as a step toward shaping the future of career readiness!

posted an update —

AI Digital Footprint Analyzer – Project Update

Over the past few weeks, our tool has evolved from an idea into a working prototype. Here’s what’s new:

New Features Added

  • Resume scoring with ATS‑style analysis
  • LinkedIn + GitHub profile evaluation
  • Employability Score generation
  • Skill gap detection with personalized career path suggestions
  • Interactive recruiter‑friendly dashboard

Visuals & Screenshots

We’ve integrated clean Streamlit dashboards and workflow diagrams to make the app more intuitive.

Tech Stack Highlights

  • Python for data processing
  • Streamlit for UI & deployment
  • NLP models (TF‑IDF, BERT) for resume parsing
  • GitHub API + LinkedIn data integration

What’s Next

  • Smarter AI models for scoring
  • Integration with job boards
  • Personalized learning path recommendations
  • Public release on Streamlit Cloud

posted an update —

Excited to share AI Digital Footprint Analyzer, an AI-powered platform that analyzes Resume, LinkedIn, and GitHub profiles to evaluate employability, identify skill gaps, and provide personalized career insights. Built using Python, Streamlit, and data analytics techniques, the platform helps students and job seekers better understand their professional readiness through interactive dashboards and intelligent recommendations. Looking forward to feedback and future improvements. :::

posted an update —

Excited to share AI Digital Footprint Analyzer, an AI-powered platform that analyzes Resume, LinkedIn, and GitHub profiles to evaluate employability, identify skill gaps, and provide personalized career insights. Built using Python, Streamlit, and data analytics techniques, the platform helps students and job seekers better understand their professional readiness through interactive dashboards and intelligent recommendations. Looking forward to feedback and future improvements. :::

Submission history