MessMaster

🍽️ Mess Master AI – Smart Campus Meal Management

🔍 Problem

College messes across India face daily challenges like:

• Over-preparation or food wastage
• Lack of dietary personalization
• No real-time inventory or demand forecasting
• No health insights or feedback system for meals

These inefficiencies lead to:

• Waste of food & resources
• Poor nutrition for students
• No insights into meal quality or health balance

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💡 Our Solution: Mess Master AI

A unified AI-powered web solution to:

• Predict meal demand
• Offer personalized meal suggestions
• Track student health metrics (BMI, calorie intake, etc.)
• Reduce food wastage using inventory logic
• Reward students using a gamified leaderboard system

Built to support both students and mess admins.

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🚀 MVP (Minimum Viable Product)

We’ve developed a functional MVP that includes:

✅ 4 core frontend modules
✅ All HTML/CSS/JS hosted on GitHub Pages
✅ Backend (Flask + Python) is built but not uploaded publicly due to confidential code and model logic

🎯 What’s Special in the MVP?

• No backend dependency: All 4 modules run fully on frontend
• Built for GitHub Pages and hackathon demos
• Includes AI-like logic for health and meal recommendations using pure JavaScript

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🎨 Figma UI Design

🔗 Figma Link: Click to View UI Prototype

Included Screens:

• Homepage
• Login & Signup
• Student Dashboard Layout

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🔄 Future UI Flow (Figma Roadmap)

For a high-quality visualization of upcoming UI screens and logic flow, refer to this shared diagram:

📁 Future UI Flow Diagram – Google Drive

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📑 PPT Overview

For a detailed overview of the project logic, modules, team, and goals:

📎 Mess Master AI – Pitch Deck (PDF)

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🌐 Hosted Web Modules (Frontend-Only)

All of these are hosted as separate GitHub Pages for modular testing & demonstration.

🔗 1. FitSync Health Dashboard

• Calculates BMI
• Tracks calorie intake
• Provides meal impact and nutrition insights

🌍 View FitSync Health Module

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🔗 2. Smart Meal Suggestion System

• Suggests meals based on symptoms, allergies, deficiencies, and health history
• Fully AI-like experience with JS logic

🌍 View Meal Suggestion System

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🔗 3. Meal Demand Predictor

• Predicts demand based on day, time, and occasion
• Visual bar chart using Chart.js
• Works offline without backend

🌍 View Demand Predictor

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🔗 4. Inventory Tracker (Frontend MVP)

• Tracks food stock
• Calculates shortages and predicts upcoming needs
• Designed for mess staff/admin panel

🌍 View Inventory Tracker

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🤖 AI Models (In Development)

Our team is building 3 backend-supported AI modules to extend MVP:

1. Meal Demand Predictor (ML-based) – Predict number of meals using historical & contextual data

2. Health-Aware Meal Recommender – AI-based model to suggest meals based on symptoms, allergies, deficiencies

3. Food Waste Pattern Identifier – Analyze leftover food trends and optimize future stock

Demo Of the model which is still under progress is shown in the pdf attached

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🛠️ Tech Stack

• Frontend: HTML, CSS, JavaScript, Chart.js
• Backend: Python (Flask) – in private repo
• Design: Figma
• Deployment: GitHub Pages
• Tools: VSCode, Jupyter, Canva, Mermaid

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👩‍💻 Built by

Sneha Singh
GitHub: @techie-013

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