"A bridge from rural dreams to digital careers."
UdaanSetu.AI is a sophisticated AI-powered digital career and skill mentor specifically engineered for rural Indian youth (Class 10th, 12th, or dropouts). Our platform acts as a bridge, guiding students through the complex transition from post-school confusion to digital career success using culturally rooted, regional language support.
π Hackathon Prototype: This project was developed to demonstrate the feasibility of localized AI mentorship in bridging the digital divide.
Rural youth in India face a significant "Guidance Gap" that limits their economic mobility. Despite having mobile access, they lack the curated, localized mentorship needed to navigate modern career paths.
- Career Confusion: Most students are aware of only 2-3 traditional career paths.
- Mentorship Scarcity: Lack of access to professional career counselors in rural districts.
- Language Barrier: High-quality digital resources are predominantly in English.
- Generic Guidance: Conventional AI tools provide generic advice that ignores local economic realities.
We have built an AI-Powered Digital Mentor that provides personalized, culturally relevant, and linguistically accessible guidance to every rural student.
- π§ Psychometric Intelligence: Goes beyond "interests" to map psychological traits like risk appetite and resilience.
- π Vernacular First: Native Gujarati support ensures no student is left behind due to language.
- π RAG-Driven Grounding: Unlike generic chatbots, we use Retrieval-Augmented Generation to provide roadmap data based on real-world scholarships and localized trends.
- πΊοΈ Actionable Roadmaps: We don't just suggest careers; we provide 6-month step-by-step blueprints to achieve them.
Rural students often lack access to personalized, expert career guidance. They face language barriers, generic advice, and a lack of role models. UdaanSetu.AI solves this by:
- Navigating career confusion in Gujarati and English.
- Performing Psychometric Assessments to map professional traits.
- Generating AI-Driven Roadmaps grounded in real-market data via RAG.
- Providing a Persistent AI Mentor for continuous conversation.
β οΈ Note: Google Gemini API might not work in the live prototype due to strict quota limits. For a fully functional experience, we recommend setting up the project locally with your own Gemini API Key and Firebase Security Configuration. vercel have Read-only System,So same Features are not working in Live URL.
- π― Adaptive Assessment: A dynamic Q&A engine that maps leadership, risk appetite, and creative traits.
- π Deep SWOT Analysis: Analyzes student data to identify internal strengths and external opportunities.
- πΊοΈ Interactive Roadmaps: Step-by-step 6-month plans for career success.
- π€ RAG-Based Mentor: A context-aware chat mentor that answers questions based on your specific report and local job trends.
- π¨ Glassmorphism UI: A premium, "mind-blowing" interface optimized for mobile devices.
- π Vernacular First: Native-level support for Gujarati to ensure digital equity.
UdaanSetu.AI/
βββ frontend/ # Next.js 15 Web Application
β βββ app/ # App Router Pages & Components
β βββ components/ # Reusable UI Elements (Glassmorphism)
β βββ services/ # Firebase & API Handlers
β βββ constants/ # i18n Translations (Gujarati/English)
βββ backend/ # Python FastAPI Intelligence Layer
β βββ app/ # Main Logic (Assessment, RAG, Mentor)
β βββ scripts/ # Index builders & Maintenance
β βββ data/ # Knowledge Base (PDFs/JSONs)
β βββ main.py # Entry Point & Vercel Handler
βββ visuals/ # Logos, Screenshots, and Assets
βββ vercel.json # Monorepo Deployment Config
βββ documentations.md # Technical System Hub
βββ deployment_guide.md # Step-by-step Hosting Guidegit clone https://github.com/dhruvpatel16120/UdaanSetu.AI.git
cd UdaanSetu.AIUdaanSetu requires several environment variables for Firebase and Google Gemini to work.
- See
.env.example.txtfor the required template. - Create a
.envfile in thefrontend/directory and another in thebackend/directory based on the template.
Detailed instructions for setting up each part of the monorepo:
- π¨ Frontend Setup Guide: Node.js, Tailwind, and Firebase Web Client.
- βοΈ Backend Setup Guide: Python environment, AI keys, and Knowledge Base.
Once both services are running:
- Navigate to
http://localhost:3000in your browser. - Log in using Google or Email.
- Take the Adaptive Assessment.
- Generate your Career Report.
- Start a conversation with your AI Mentor.
For a technical deep-dive into our Module 1 (Bio-Profiler), Module 2 (Deep Thinker), and Module 3 (Guide), please visit our Technical Documentation Hub.
We welcome contributions! To help us empower rural youth:
- Fork the project.
- Create your Feature Branch (
git checkout -b feature/AmazingFeature). - Commit your changes (
git commit -m 'Add some AmazingFeature'). - Push to the branch (
git push origin feature/AmazingFeature). - Open a Pull Request.
Dhruv Patel - dhruvpatel16120@gmail.com
Project Link: https://github.com/dhruvpatel16120/UdaanSetu.AI
| Member | Role | Link |
|---|---|---|
| Dhruv Patel | Team Leader & System Architect | |
| Prajwal Yadav | Frontend & UI/UX Designer | |
| Kalyani Sanjarkhan | Research & Testing | |
| Vasu Patil | Representative & Backend Architect |
Distributed under the Apache License 2.0. See LICENSE for more information.
- π¨ Creative Assets: All icons and logos were custom-created by Team FutureMinds.
- β¨ Design Philosophy: UI inspired by Glassmorphism and modern Indian design trends.
- π§ AI Intelligence: Core logic and reasoning powered by Google Gemini.
If you find UdaanSetu.AI impactful or useful, please consider giving this repository a Star! Your support helps us gain visibility and continue building tools to bridge the digital divide for rural India.
Made with β€οΈ for Rural India by FutureMinds Team





