Event Syrup - SaaS LMS, Event Management & IoT Smart Attendance Platform

Author: Anup Chapagain
Type: BSc (Hons) Dissertation | Full-Stack SaaS + IoT Project
Tech Stack: React (Vite) / Node.js / Firebase / REST APIs / Python IoT

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📖 Project Overview

Event Syrup is a SaaS Learning Management and Event Hosting platform enhanced with IoT smart features.
It includes two web panels and hardware IoT integration:

1. Admin Panel – For event organizers and LMS managers
2. Client Panel – For learners or event participants
3. IoT Integration – Smart attendance and environmental monitoring using RFID & sensors

With Event Syrup, educational institutions, organizations, and event companies can:

• Create and manage events, workshops, and online courses
• Allow participants to register, attend, and track learning progress
• Automatically log attendance via RFID IoT devices
• Monitor real-time analytics and environmental conditions

This project demonstrates modern SaaS architecture combined with IoT for next‑gen smart campus and event management.

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✨ Key Features

Admin Panel (Event Organizers)

• Dashboard with analytics for events, users, and attendance
• Create and manage events, workshops, or lessons
• User & Role Management for instructors, students, and admins
• Attendance & Engagement Tracking for each event
• Upload and manage LMS content (lessons, files, or materials)

Client Panel (Learners / Attendees)

• Browse and register for events or courses
• Access course content with lessons and materials
• Automatic attendance tracking during event participation
• Progress Monitoring and certificate/completion tracking
• User Dashboard showing enrolled events and course status

🌐 IoT Integration

Event Syrup also features smart IoT modules:

• RFID Attendance – Scan RFID cards to mark attendance automatically
• Temperature Monitoring – Track environmental conditions for safety & analytics
• Smart Campus Ready – IoT scripts run on Raspberry Pi / Python to connect sensors with the Event Syrup cloud backend

IoT scripts are stored in the iot/ folder:

• app.py – Main IoT controller for attendance and sensors
• rfid_reader.py – Handles RFID-based attendance
• temperature_sensor.py – Reads event environment temperature

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🛠 Tech Stack

• Frontend: React.js (Vite) for SPA dashboards (Admin & Client)
• Backend / API: Node.js (Express) or Firebase Functions
• Database: Firebase / MySQL / MongoDB for user and event data
• IoT Layer: Python scripts for RFID & sensor integration
• Authentication: Firebase Auth / JWT for multi-role access
• Hosting: Firebase Hosting / Vercel / Heroku
• Other: REST APIs for data exchange between panels & IoT

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📂 Project Structure

EventSyrup/
 ├─ admin-panel/           # Admin dashboard (React + Vite)
 ├─ client-panel/          # Client / LMS user panel
 ├─ iot/                   # IoT scripts for smart attendance & monitoring
 │   ├─ app.py
 │   ├─ rfid_reader.py
 │   └─ temperature_sensor.py
 ├─ docs/                  # Reports & screenshots
 │   ├─ Project_Report.pdf
 │   └─ screenshots/
 ├─ README.md              # Project overview
 └─ .gitignore

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🚀 Quick Start

1️⃣ Clone the Repository

git clone https://github.com/anupanonymous/Event-Syrup-by-Anup-Chapagain.git
cd EventSyrup

2️⃣ Setup Admin Panel

cd admin-panel
npm install
npm start

Visit http://localhost:3000 for the Admin Dashboard.

3️⃣ Setup Client Panel

cd ../client-panel
npm install
npm start

Visit http://localhost:3001 for the Client Panel.

4️⃣ Run IoT Scripts (Optional)

On a Raspberry Pi or system with connected RFID & sensors:

cd ../iot
python app.py

This will log attendance via RFID and read environment data into Event Syrup.

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💡 Real-World Applications

• Universities and Colleges:

  • Manage workshops, classes, and attendance with IoT-enabled automation

• Corporate Training Platforms:

  • Track employee participation and learning with automated attendance

• Public Event Management SaaS:

  • Run smart events with RFID entry & real-time dashboards

• Smart Campus / Hybrid LMS:

  • Integrate IoT + SaaS LMS for an intelligent, next‑gen learning environment

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📸 Screenshots & Documentation

Screenshots and the dissertation report are available in the docs/ folder:

• admin_dashboard.png – Event and attendance dashboard
• client_dashboard.png – Learner view of registered events and courses
• rfid_demo.png – IoT RFID attendance logging

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💡 Future Scope

• AI-powered event recommendations
• Real-time notifications via IoT triggers
• Subscription-based SaaS deployment for commercial use
• Mobile App Integration for on-the-go learning & attendance
• Advanced IoT analytics for environmental monitoring and event optimization

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👤 About Me

Anup Chapagain
AI, IoT & Fullstack Enthusiast | Film Making Aspirant | Camera Nerd