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Add LinkedIn profile integration with OAuth and auto-fill capabilities #84

Description

@anshul23102

Description

Manual resume entry tedious and error-prone. LinkedIn integration with OAuth would enable 90% reduction in manual data entry, auto-populate fields from LinkedIn profile (experience, education, skills), and improve data accuracy.

Current Impact: High friction; many users abandon tool during resume entry.

Expected Business Value: 90% data entry time reduction, 70% higher completion rate, 85% improved data accuracy, seamless user experience.

Steps to Reproduce

  1. Click 'Import from LinkedIn' (if feature exists)
  2. Observe: no integration available
  3. Must manually type all resume information

Environment Information

  • Node.js/Python backend
  • OAuth 2.0 support
  • LinkedIn API credentials
  • Session management available

Expected Behavior

  • 'Connect LinkedIn' button triggers OAuth flow
  • User grants resume read permission
  • Auto-populate from LinkedIn: name, email, profile URL
  • Extract work experience, education, skills
  • Display preview before saving
  • Optional manual corrections before final save

Actual Behavior

  • No LinkedIn integration
  • Manual data entry required
  • High friction, low completion rate
  • Data entry errors common

Screenshots or Recordings

Not applicable - feature missing

Additional Context

Affected Users: All users; massive UX improvement.

Root Cause: No OAuth implementation or LinkedIn API integration.

Proposed Solution: Implement LinkedIn OAuth flow with API data extraction.

Implementation Steps:

  1. Register LinkedIn OAuth app, get credentials
  2. Implement OAuth 2.0 flow (authorize -> callback -> token)
  3. Create LinkedInAPI wrapper for profile access
  4. Parse LinkedIn response, map to resume fields
  5. Display preview UI with extracted data
  6. Implement save/edit before final commit
  7. Add error handling for missing permissions
  8. Store access token securely (encrypted)

Test Cases:

  • OAuth flow completes successfully
  • Profile data extracted: name, location, industry
  • Experience entries parsed with dates and descriptions
  • Education entries recognized with dates
  • Skills extracted and auto-populated
  • User can review and edit before saving
  • Connection revocation handled gracefully
  • Performance: data fetch <2 seconds

Severity: High - major UX improvement
Expected Points: 600-700 GSSoC points

Suggested Labels

enhancement, linkedin-integration, oauth, auto-fill, ux, GSSoC26

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