Skill Link

TypeScript
AIFull StackEducation
View on GitHub

An AI-powered mentorship platform that intelligently connects learners with experienced developers based on skills, learning goals, and compatibility. Built to make quality mentorship accessible to everyone.

Overview

Finding a good mentor is hard. Skill Link uses AI to analyze both mentor expertise and learner needs, creating matches that lead to productive mentorship relationships. The platform handles scheduling, communication, and progress tracking.

The matching algorithm considers technical skills, learning style preferences, availability, and even personality traits to suggest mentors who are most likely to help each learner succeed.

Key Features

AI Matching

Machine learning algorithms analyze skills, goals, and preferences to suggest optimal mentor-learner pairings.

Smart Scheduling

Integrated calendar with timezone detection, availability matching, and automatic meeting reminders.

Progress Tracking

Visual dashboards showing learning milestones, session history, and skill development over time.

Real-time Chat

Built-in messaging with code snippet support, file sharing, and screen sharing for effective communication.

Tech Stack

TypeScriptNext.jstRPCPrismaPostgreSQLOpenAI APISocket.ioTailwind CSS

What I Learned

Building Skill Link taught me about the complexities of matching algorithms and the importance of user feedback loops in AI systems. The initial algorithm performed well on paper but needed significant tuning based on real user satisfaction data.

I also gained experience with real-time features at scale, implementing WebSocket connections that stay reliable even with thousands of concurrent users.