[FEATURE] Personalized Learning Path from Issues (Roadmap Generator)

[MadhuTiwari-345]

Feature Description

Introduce a Personalized Learning Path (Roadmap Generator) that organizes recommended open source issues into a progressive, structured roadmap for each user. Instead of showing isolated issue recommendations, the platform should guide contributors through a step-by-step learning and contribution journey, from beginner-friendly tasks to advanced, high-impact issues.

This roadmap should adapt dynamically based on the user’s skills, completed contributions, and learning goals.

Problem Statement

While IssueMatch effectively recommends relevant issues, contributors—especially beginners—often struggle with:

• Knowing what to work on next

• Understanding how individual issues fit into a long-term learning journey

• Identifying skill gaps blocking progress

• Avoiding sudden jumps in issue difficulty

This lack of structured progression can lead to confusion, low confidence, and contributor drop-off.

Proposed Solution

Implement a Roadmap Generation Engine that creates a personalised, evolving issue roadmap for each user.

Core Components

1. Difficulty Progression Logic

• Classify issues into levels (Beginner → Intermediate → Advanced)

• Start slightly below or at the user’s current skill level

• Gradually increase complexity while avoiding sharp difficulty jumps

3. Skill Gap Detection

• Extract required skills from issue descriptions and labels

• Compare against the user’s skill profile

• Prioritise issues with manageable skill gaps that promote learning

3. Dependency-Aware Issue Ordering

• Detect implicit dependencies between issues (setup tasks, refactors, prerequisite bugs)

• Ensure prerequisite issues appear earlier in the roadmap

• Avoid recommending blocked or dependent tasks prematurely

4. Roadmap Generation

• Group issues into progressive phases or milestones

• Balance learning value, contribution impact, and feasibility

• Regenerate dynamically as the user:

  • Completes issues

  • Improves skill level

  • Changes interests or domains

5. Frontend Timeline Visualisation

• Display the roadmap as a visual timeline or step-based flow

• Each item includes:

  - Issue title
  
  - Difficulty level
  
  - Skills gained
  
  - Estimated effort
  

Status tracking: Not Started / In Progress / Completed

Component

AI/ML

Alternative Solutions

• Static learning tracks (not personalised, limited adaptability)

• Simple difficulty-based sorting (ignores skill gaps and dependencies)

• Manual mentor-curated paths (not scalable)

The proposed AI-assisted roadmap system provides scalability, personalisation, and adaptability.

Additional Context

• Strongly complements issue recommendation and mentorship features

• Aligns with SWoC’s learning-first and mentorship-driven goals

• Lays groundwork for future features like:

  • Career-based learning tracks

  • Contributor growth analytics

  • Goal-oriented roadmaps (e.g., backend, ML, frontend)

[github-actions]

Thank you for creating this issue! 🎉

This issue is part of Social Winter of Code 2026.

Next Steps:

• A maintainer will review and assign difficulty labels (Easy/Medium/Hard)
• Feel free to ask questions in the comments
• Wait for assignment before starting work

Happy contributing! 🚀

[MadhuTiwari-345]

Hi @AvishkarPatil, Please Assign
Difficulty: Hard

[MadhuTiwari-345]

Hi @AvishkarPatil, please assign this issue

[MadhuTiwari-345]

Hi AvishkarPatil/IssueMatch Please assign this issue so I can start working on it its been 5 days

…

On Tue, Jan 27, 2026, 11:10 PM github-actions[bot] ***@***.***> wrote: *github-actions[bot]* left a comment (AvishkarPatil/IssueMatch#83) <#83 (comment)> Thank you for creating this issue! 🎉 This issue is part of *Social Winter of Code 2026*. *Next Steps:* - A maintainer will review and assign difficulty labels (Easy/Medium/Hard) - Feel free to ask questions in the comments - Wait for assignment before starting work Happy contributing! 🚀 — Reply to this email directly, view it on GitHub <#83 (comment)>, or unsubscribe <https://github.com/notifications/unsubscribe-auth/BONO2UFRJUJAV6FPR4TWL7D4I6PKFAVCNFSM6AAAAACTCGRNNGVHI2DSMVQWIX3LMV43OSLTON2WKQ3PNVWWK3TUHMZTQMBWGU3TANBVGQ> . You are receiving this because you authored the thread.Message ID: ***@***.***>