A next-generation, context-aware campus management platform.
Built with a Zero-Trust architecture, edge-scraping capabilities, and AI-driven insights.
Traditional academic portals are fragmented and static. StudentSphere bridges the gap between institutional data and actionable intelligence, providing a unified, context-aware experience for both students and faculty.
StudentSphere incorporates a server-side verification layer (/api/verify-faculty) that autonomously parses the official university directory to validate faculty credentials.
- Data Normalization: Automatically reconciles names and standardizes titles to ensure consistent matching.
- Proactive Security: Unverified access attempts are rejected at the edge, maintaining the integrity of the faculty portal.
Data security and access controls are strictly enforced at the database level.
- Input Validation: Batch-specific constraints (e.g., locking to specific numeric or alphanumeric formats based on enrollment year).
- Firestore RBAC: Role-Based Access Control policies ensure users can only access and modify their authorized data scopes.
Integrating with real-time academic telemetry, SphereAI provides proactive insights rather than simple LLM responses.
- Predictive Analytics: Accurately calculates attendance trajectories and suggests optimal buffer zones.
- Low-Latency Logic: Powered by Groq's LLaMA 3.3, delivering near-instantaneous strategic recommendations.
An asynchronous data extraction engine using @sparticuz/chromium. Designed to operate within serverless constraints, it securely and rapidly pulls raw attendance and timetable data from legacy institutional portals.
| Component | Technology | Purpose |
|---|---|---|
| Framework | Next.js 15 |
App Router paradigm for nested layouts, secure API routes, and optimized streaming. |
| Authentication | Firebase Auth |
Institutional SSO integration with strict verification protocols. |
| Database | Firestore |
Scalable NoSQL document storage for complex, hierarchical user profiles. |
| Scraping Engine | Puppeteer-Core |
Headless Chromium mechanics tailored for Vercel Serverless execution. |
| UI & Animation | Framer Motion |
Hardware-accelerated transitions that bridge React state with fluid DOM elements. |
| AI Inference | Groq Cloud |
Ultra-low-latency API powering the reasoning framework for SphereAI. |
graph TD
User((Student / Faculty)) -->|Next.js App Router| Platform[StudentSphere UI]
Platform -->|Firebase Auth| Gatekeeper{Identity Guard}
Gatekeeper -->|Unverified Faculty| Oracle[Faculty Verification API]
Oracle -->|Scrapes Identity| Directory[(Institutional Directory)]
Directory -->|Identity Verified| Gatekeeper
Gatekeeper -->|Authorized| Dashboards[Role-Based Dashboards]
Dashboards -->|Data Sync Request| Scraper[Edge Chromium Scraper]
Scraper -->|POST Request| SLCM[Legacy SLCM Portal]
SLCM -->|RAW DOM Data| Scraper
Scraper -->|Structured JSON| Firestore[(Firestore DB)]
Firestore -->|Live Telemetry| AI[SphereAI Engine]
AI -->|Strategic Output| Dashboards
- Phase 1: Foundations - Core authentication, layout structures, and scraping logic.
- Phase 2: Faculty Dashboard - Real-time attendance, assignment, and academic marks management.
- Phase 3: Intelligence - Integration of the SphereAI context-aware engine.
- Phase 4: Identity Hardening - Implementation of the automated faculty verification process.
- Phase 5: Deployment - Production release on Vercel with strict Firestore security rules.
- Phase 6: Collaboration - Encrypted peer-to-peer discussions and batch-wide broadcasting.
For access provisioning, architectural discussions, or collaboration inquiries:
- Lead Developer: Shrey Bansal
- Email: shreybansal365@gmail.com
- GitHub: @shreybansal365
Made with ❤️ by Shrey Bansal — Manipal University Jaipur 2026.