AI-Powered Educational Opportunity Navigator for Indian Students
CampusCompass is an AI-powered guidance platform that helps Indian college students from Tier-2/3 colleges discover and validate their eligibility for scholarships, exams, courses, and schemes—all through natural conversation in Hindi/Hinglish.
Millions of students from smaller colleges miss life-changing opportunities because:
- They don't know these opportunities exist
- Information is scattered across hundreds of websites
- Eligibility criteria are complex and confusing
- Most resources are English-only
- No personalized guidance or mentorship available
An AI chatbot that:
- Understands Hindi/Hinglish conversation (no language barriers)
- Extracts student profiles naturally (no complex forms)
- Validates eligibility accurately (hybrid rules + AI reasoning)
- Provides 2-3 focused recommendations (prevents overwhelm)
- Works on 2G networks (accessible on basic smartphones)
Student Track 6: AI for Communities, Access & Public Impact
CampusCompass directly addresses educational equity by democratizing access to opportunities for underserved student communities.
- Processes Hindi, Hinglish, and English input
- Handles regional language variations
- Asks clarifying questions in user's preferred language
- Conversational data gathering (no forms!)
- Extracts academic details, location, and preferences
- Validates and normalizes information automatically
- Rule-based filtering for objective criteria (accuracy)
- LLM reasoning for complex/ambiguous requirements (flexibility)
- Plain-language explanations for every decision
- Maximum 3 opportunities per query (focused guidance)
- Step-by-step application instructions
- Deadline-aware prioritization
- Verified links and contact information
- Text-only interface (works on 2G)
- Low bandwidth usage
- Supports basic smartphones
- Screen reader compatible
┌─────────────────────────────────────────────────┐
│ User Interface Layer │
│ (Text-based Chat Interface) │
└──────────────────┬──────────────────────────────┘
│ Hindi/Hinglish Input
▼
┌─────────────────────────────────────────────────┐
│ Processing Layer │
│ ┌─────────────────────────────────────────┐ │
│ │ Conversation Handler (LLM-powered) │ │
│ │ • Natural language understanding │ │
│ │ • Profile extraction │ │
│ └──────────────────┬──────────────────────┘ │
│ ▼ │
│ ┌─────────────────────────────────────────┐ │
│ │ Eligibility Reasoner (Hybrid) │ │
│ │ • Rule-based filtering │ │
│ │ • LLM validation for complex cases │ │
│ └──────────────────┬──────────────────────┘ │
│ ▼ │
│ ┌─────────────────────────────────────────┐ │
│ │ Action Translator (LLM-powered) │ │
│ │ • Recommendation ranking │ │
│ │ • Next step generation │ │
│ └─────────────────────────────────────────┘ │
└─────────────────────────────────────────────────┘
│
▼
┌─────────────────────────────────────────────────┐
│ Data Layer │
│ • Knowledge Base (JSON - opportunities) │
│ • Session Data (SQLite - user context) │
└─────────────────────────────────────────────────┘
- Rules ensure accuracy: No hallucination risk for eligibility decisions
- LLM enables flexibility: Handles language understanding and complex reasoning
- Cost-effective: Rule-based pre-filtering reduces expensive LLM calls by 60%
| User Load | Cost per User | Total/Month |
|---|---|---|
| 1,000 (Demo) | ₹1.08 | ₹1,080 |
| 10,000 (Pilot) | ₹0.42 | ₹4,200 |
| 100,000 (District) | ₹0.21 | ₹21,000 |
| 1,000,000 (State) | ₹0.17 | ₹1,70,000 |
At 1M users/month: Just ₹0.17 per user — financially sustainable for government/NGO deployment at Bharat scale.
- Intelligent caching of common queries
- Rule-first processing before LLM calls
- Batching multiple checks in single API calls
- Model right-sizing (Claude-instant vs Claude-2)
We measure impact through three concrete outcomes:
- Clarity Metric: 80% of users identify at least one actionable opportunity
- Action Metric: 50% of users click through to opportunities within 7 days
- Trust Metric: Users return with follow-up questions within 7 days
These metrics are:
- Testable during demos
- easurable in pilot phase
- ✅ Aligned with real-world impact
- Backend: FastAPI (Python)
- AI/LLM: Claude API (Anthropic)
- Database: SQLite (sessions), JSON (knowledge base)
- NLP: Multilingual processing (Hindi/Hinglish/English)
- Deployment: Lightweight, cloud-agnostic design
campusCOMPASS/
├── requirements.md # Detailed functional requirements
├── design.md # System architecture and design decisions
├── tasks.md # Project tasks and milestones
└── README.md # This file
- Students from Tier-2/3 colleges
- Semi-urban and rural backgrounds
- First-generation learners
- Limited English proficiency
- Basic smartphone users with 2G/3G connectivity
- All states of India
- Priority: Uttar Pradesh, Bihar, Madhya Pradesh, Rajasthan (high student populations in smaller colleges)
- 40+ million college students in India
- 70%+ from Tier-2/3 colleges
- Thousands of scholarships/opportunities available annually
- <10% awareness among target students
If CampusCompass helps just 1% of Tier-2/3 students access one opportunity they would have missed:
- 280,000+ students annually benefit
- ₹100+ crore in scholarships/opportunities unlocked
- Multiplier effect through peer sharing
- Minimal data collection: Only essential academic information
- No PII storage: Avoids storing sensitive personal identifiers
- User control: Easy session data deletion
- Transparent AI: Clear explanations for all recommendations
- Bias awareness: Regular audits for regional/demographic fairness
Hackathon Submission Stage
- Requirements documented
- System design completed
- Architecture validated
- Prototype development in progress
ThreadFall - Student Hackathon Team
- Focus: Clean code, solid system design, rapid prototyping
- Philosophy: Solving real problems with practical AI
- GitHub: AshharAhmadKhan/campusCOMPASS
- Email: [email protected]
- Hackathon: AI For Bharat 2026
This project is developed as part of the AI For Bharat hackathon.
Built for Track 6: AI for Communities, Access & Public Impact because every student deserves a compass to navigate their future.
Powered by: Claude AI (Anthropic) | Hosted by: AI For Bharat Hackathon | Built with: ❤️ for Bharat's students
"Education is the most powerful weapon which you can use to change the world." - Nelson Mandela
- Main Repository: github.com/AshharAhmadKhan/campusCOMPASS
- Requirements: requirements.md
- Design Document: design.md
- Generated via: Kiro Spec > Design Flow