In hostel mess facilities, students rely on static notice boards. This lack of digitization leads to massive systemic inefficiencies:
| ❌ The Problems | 📉 The Impact |
|---|---|
| Nutritional Blindness | Students cannot track their Calorie, Protein, Carb, or Fat intake. |
| Disconnected Preferences | Management cooks blindly without knowing what students actually want to eat. |
| High Food Wastage | Bulk cooking of low-demand dishes results in massive daily food waste. |
| Dietary Obscurity | Students with specific dietary profiles (Veg/Non-Veg/Special) lack transparent choices. |
FitVIT is an intelligent, dual-platform ecosystem designed to be effortlessly accessible for students and profoundly insightful for mess management.
Empowering students with dietary transparency and a loud voice.
- 🍽️ Digital Daily Menus: Beautiful UX displaying daily menus organized by exact dietary profiles.
- 🥗 Nutritional Transparency: Granular macro breakdowns (Calories, Protein, Carbohydrates, Fats) for every single dish.
- ⭐ Actionable Feedback Loop: Instant dish rating out of 5 stars + qualitative feedback driving quality control.
- 📅 Advance Preference Mapping: Students lock-in their choices for Regular and Feast Menus, preventing over-preparation.
Transforming guesswork into data-driven operations.
- 🧠 Predictive Demand Engine: ML-driven analytics model predicting real-time demand down to the exact dish.
- ♻️ Waste Management Triage: Automated system flagging dishes as
HIGH RISK,WATCH, orSAFEfor wastage. - 📊 Dietary Vault Analytics: Stunning visualizations mapping the entire demographic footprint of the student body.
graph TD;
A[Student App] -->|Advance Preferences| B(Supabase DB)
A -->|Ratings & Feedback| B
B --> C{Predictive Engine}
C -->|Calculates Demand & Risk| D[Admin Dashboard]
D -->|Adjusts Quantities| E[Hostel Kitchen Operations]
E -->|Optimized Menu Flow| A
style A fill:#4CAF50,stroke:#388E3C,stroke-width:2px,color:#fff
style D fill:#2196F3,stroke:#1976D2,stroke-width:2px,color:#fff
style C fill:#FF9800,stroke:#F57C00,stroke-width:2px,color:#fff
style B fill:#1E1E1E,stroke:#333,stroke-width:2px,color:#fff
| Branch | Description | Status |
|---|---|---|
main |
Core documentation & Solvathon overview. | 🟢 Active |
app |
Source code for the Student App & Admin Dashboard. | 🟢 Active |
website |
Source code for the web portal. | 🟡 In Dev |
- Frontend: React Native (Expo Router) paired with a custom Living Greenhouse UI System
- Backend: Supabase (PostgreSQL, Auth, Edge Functions)
- Intelligence: Python-based ML predictive engine
- Analytics: React Native Chart Kit for immersive data visualization
Concepted, Designed, and Built with ❤️ by 5Stars Team.
