[GSSoC26] feat: Add AI-Powered Mentor Matching System

[sanjam3712]

Hi @escher-m ! 👋

I am participating in GSSoC '26 and have already contributed the FAQ section and Interactive Learning Path Quiz to HerStack.
Here is a feature idea!

📌 Feature Request

Problem

Currently, girls browsing HerStack see a generic list of mentors with no guidance on who is the best fit for them. Choosing the
right mentor is overwhelming - especially for first-time learners who don't know what they need yet. This leads to decision fatigue
and lower engagement with the mentorship program.

Proposed Solution

Add an AI-Powered Mentor Matching System that:

1. Asks the girl 5 quick questions about her goals and background
2. Uses AI to find the best matching mentor from the existing list
3. Shows a match score (e.g. "87% match!") with explanation
4. Displays "Why this mentor?" breakdown

📝 The 5 Questions:

1. "What is your current experience level?"
   → Complete beginner / Some coding / Comfortable with basics
2. "What area of AI interests you most?"
   → Computer Vision / NLP / Data Science / ML / Not sure yet
3. "What is your main goal?"
   → Get a job / Build a project / Learn for fun / Crack interviews
4. "How much time can you commit weekly?"
   → 1-2 hrs / 3-5 hrs / 5+ hrs
5. "What language do you prefer for mentorship?"
   → English / Hindi / Both

🎯 Result:

• Top 3 matched mentors shown with match percentage
• "Why this match?" explanation for each
• Direct "Connect" button to reach out

Benefits

• Removes decision paralysis for new learners
• Increases mentor-mentee connection quality
• Makes HerStack feel like a truly personalized platform
• Perfectly aligned with HerStack's mission of empowering girls in AI
• No other open-source mentorship platform has this feature

Implementation

Frontend (React + Tailwind):

• New MentorMatch.tsx component
• 5-step quiz flow with progress bar
• Results page with match cards and scores
• Smooth animations between steps

Matching Logic:

• Pure frontend algorithm scoring mentors based on answers
• Weighted scoring system (goals > experience > time > language)
• No external API needed - works with existing mentor data

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Could you please assign this issue to me if approved?
I would love to work on this! 🙌

[vishesh1111]

Hey! GSSoC'26 contributor here — I'd love to work on this feature.
Understanding the Problem:
Girls browsing HerStack currently see a generic mentor list with no guidance, leading to decision fatigue and lower engagement. An AI-powered matching system that asks targeted questions and scores mentors against answers would make the platform feel truly personalized.
My Approach:

Build a new MentorMatch.tsx component with a 5-step quiz flow and a progress bar showing current step
Implement the 5 questions covering experience level, AI interest area, main goal, weekly time commitment, and preferred language — each as clean interactive option cards
Build a weighted scoring algorithm purely on the frontend — goals weighted highest, followed by experience, time, and language — no external API needed
Display Top 3 matched mentors as result cards showing match percentage, a "Why this match?" explanation breakdown, and a direct Connect button
Add smooth step transition animations between quiz screens
Ensure the component is fully responsive and consistent with HerStack's existing React + Tailwind design system

Why I'm a good fit:

I have experience in React, component-based architecture, and building multi-step UI flows
I understand weighted scoring logic and can implement it cleanly without any external dependencies
I'll keep the code modular, well-commented, and easy to extend with real AI later

Please assign this to me under GSSoC'26! 🙌