FakeHR

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  Login/Signup portal

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  Main Dashboard + Fake Data Generation

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  Fake resume Generation + Resume Preview

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  Comment and Rating Section

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  History section with downloadable links

Inspiration

HR tech tools often need realistic employee data and resumes, but real data is private — and fake data looks fake. FakeHR solves this with AI: generating synthetic employee data and clean, professional resumes using Google Gemini.

What it does

-> Log in securely -> Generate synthetic employee data (customizable) -> Generate one-page resumes with Google Gemini -> Download in CSV, JSON, Excel, or ZIP (PDFs) ->Preview resumes before download -> Leave feedback and view history

How we built it

-> Frontend: Streamlit -> AI Integration: Google Gemini 1.5 Flash -> PDF Resumes: Jinja2 + pdfkit + wkhtmltopdf -> Database: SQLite -> Security: bcrypt password hashing -> Deployment: AWS EC2 (24×7 live)

Challenges we ran into

-> Gemini API rate limits → fallback logic with Faker -> Conversion of HTML file into pdf for resume generation -> Deployment on AWS

Accomplishments that we're proud of

-> Successful integration of Google Gemini for clean, structured JSON resume generation -> A smart fallback system using Faker when the Gemini API limit is exceeded -> Multi-format downloads including PDFs, CSV, Excel, and ZIP files -> A feedback system with rating storage and session history using SQLite

What we learned

-> Streamlit optimization -> AWS deployment -> Resilient design under API limits

What's next for FakeHR

-> Global data support (Canada, UK, India) -> API access for integration -> More smooth and fast results -> Make it more user intearctive

Built With

• amazon-web-services
• api
• bcrypt
• faker
• gemini
• pdfkit
• python
• sqlite
• streamlit
• wkhtmltopdf