SkillBridge

Your AI-powered career buddy helping students learn, track, and get hired — with real mentors, job portals & curated roadmaps.

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✅Inspiration

Many underserved students lack access to career guidance, mentorship, and credible learning paths. Coming from a similar background, I’ve faced this gap firsthand. That’s why I built SkillBridge — an AI-powered copilot to help students navigate from learning to earning, regardless of their location or privilege. It's the tool I wish I had.

✅ What it does

  • 🎯 AI Career Copilot: Chat-based assistant (Gemini-powered) to answer queries like “How do I become a backend developer?”
  • 📚 Learning Hub: Curated courses from top global universities, organized by career domains (Java, MERN, DSA, Cybersecurity, etc.)
  • ✅ Progress Tracker: Visual checklist to track learning goals per track
  • 💼 Internship & Job Finder: Lists live job platforms like LinkedIn, AngelList, etc. by category
  • 🧑‍🏫 Mentor Access: For now, a placeholder; in future, verified mentors will be onboarded

✅ How we built it

  • ⚙️ Frontend: HTML5, CSS3, JavaScript
  • 💻 Backend: Spring Boot (Java) REST API connected to Gemini (Google’s LLM)
  • ☁️ AI: Gemini API for dynamic career guidance
  • 🌍 Hosting: Netlify (Frontend), GitHub (Source Control) Every feature was built modularly — frontend as a clean static site and backend integrated via REST, ensuring future scalability.

✅ Challenges we ran into

  • Connecting frontend & backend while keeping hosting simple (solved via JSON POST fetch)
  • Building a structured prompt for Gemini that generates useful, non-generic career guidance
  • Designing a UI that’s both intuitive and scalable in just a few days
  • Keeping the codebase clean while working solo under tight deadlines

✅ Accomplishments that we're proud of

  • Built a complete product (frontend + backend + AI) solo within the hackathon timeframe
  • Created a working AI assistant experience with actual backend integration
  • Designed a visual learning tracker that can be easily extended for real users
  • Hosted everything publicly and made it Devpost-ready, open source, and transparent

✅ What we learned

  • Practical use of GenAI (LLMs) to build real, impactful tools, not just chatbots
  • Leveraging Netlify and GitHub for ultra-fast deployment cycles
  • How to keep things modular: keeping frontend & backend separate allowed better focus
  • How to pitch and present a product clearly and powerfully in limited time

✅ What’s next for SkillBridge

  • 🧑‍💼 Mentorship Matching: Real-time 1:1 mentor booking and scheduling
  • 📈 User Login + Progress Persistence: Let users save their learning status
  • 🎯 Smart Recommendations: Suggest next courses/jobs based on learning history
  • 🌐 Multilingual Expansion: Reach deeper into rural India and global communities
  • 🤝 Partnerships with NGOs, schools, and ed-tech orgs

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