Feature: Resume Parsing Pipeline (PDF → JSON Profile)

[AdwikaVishal]

Labels: feature backend AI

Description

Build an end-to-end resume parser that:
Extracts text from PDF resumes
Summarizes skills, experience, education
Outputs a standardized user profile JSON
Uses PyMuPDF + Gemini 1.5 Flash.

Acceptance Criteria

• Upload PDF → Extracted text
• Profile JSON includes:
• Skills
• Experience summary
• Education
• Seniority level
• Job interests (AI-inferred)
• Must handle poorly formatted PDFs

Tasks

• Implement resume_parser.py
• Integrate Gemini API for structured profile
• Add fallback parser for PDF extraction failures
• Add tests for various resume styles

[nitinc264]

Hi @AdwikaVishal , thanks for creating this detailed issue!

Do you plan to work on this feature yourself? If so, let me know and I will assign it to you so you can get started.

[AdwikaVishal]

Yes I would love to work on it. Please assign it to me

[nitinc264]

Awesome! I've assigned this to you @AdwikaVishal

Since this involves integrating the Gemini API and parsing PDFs, please let us know if you hit any blockers. Make sure to handle edge cases where the PDF text might be messy.

Good luck 🚀

[nitinc264]

Hi @AdwikaVishal , just checking in on this! How is the resume parser coming along? Let us know if you need any help or if you are stuck.

[AdwikaVishal]

Yes sir it will be done by tomorrow

[nitinc264]

Great to hear @AdwikaVishal 🚀

Once you open the Pull Request, I will tag our mentors @ParagEkbote and @Mehvish1234 to review the code. Since this is a core AI feature, their feedback will be very valuable.

Looking forward to seeing it