5000+ Computer Science Projects | Degree | Diploma | MCA | BCA

Event, Travel & Ticket Booking
Reviews

AI-Powered Event Recommender

Objective

To build an intelligent recommendation system that suggests relevant events (concerts, workshops, conferences, festivals, etc.) to users based on their preferences, location, past activity, and social trends using AI/ML algorithms.

Key Features

Module	Feature
User Module	Registration, login, profile setup, interest tagging
Event Catalog	Browse/list upcoming events with categories (music, tech, art, sports, etc.)
Recommendation Engine	AI/ML-based personalized suggestions based on user history, preferences, and location
Search & Filter	Find events by type, date, location, popularity
Social Integration	Recommendations influenced by friends’ activities & trending events
Booking & RSVP	Users can register, RSVP, or buy tickets directly from platform
Admin Panel	Add/manage events, categories, view user engagement reports
Notifications	Alerts for recommended events, reminders, and updates
Feedback Loop	Users rate attended events → improves AI recommendations
Analytics Dashboard	For admins: user engagement, trending categories, booking stats

Technology Stack

Layer	Technology Options
Frontend	React / Vue / Angular + Tailwind / Bootstrap
Backend	Node.js (Express) / Spring Boot / Django
Database	PostgreSQL / MySQL / MongoDB
AI/ML	Python (Scikit-learn, TensorFlow, PyTorch) / MLlib
Authentication	JWT / OAuth 2.0 / Firebase Auth
Notifications	Firebase Cloud Messaging / Twilio / SendGrid
Hosting	Vercel (Frontend), AWS EC2 / GCP / Heroku (Backend)

Workflow

Recommendation Flow

User signs up and selects interests (categories, genres, event types).
Event catalog is loaded → ML engine filters and ranks events based on:
- User preferences
- Event popularity/trending score
- Location proximity
- Past bookings/ratings
User receives personalized suggestions on dashboard.
Feedback (ratings, likes, clicks) refines future recommendations.

Admin Flow

Admin logs in → dashboard access.
Can add/edit/delete events with details (date, category, price, location, image).
Monitor user engagement & booking patterns.
View analytics on top categories & trending events.

User Roles

Role	Permissions
User	Create profile, set preferences, browse events, book/RSVP, rate events
Admin	Manage events, view analytics, send notifications

Security Features

Encrypted passwords (BCrypt/Argon2).
Role-based access control (Admin/User).
JWT/OAuth-based secure authentication.
Protection against CSRF/XSS attacks.
Optional 2FA for users and admins.

Analytics (Admin Dashboard)

Metric	Description
User Engagement	Time spent browsing, clicks per category
Popular Events	Events with highest bookings & ratings
Category Trends	Which event categories are most popular
Recommendation Accuracy	CTR (Click-through rate) of AI suggestions
Booking Revenue	Total income generated from bookings

What You Get

AI-based personalized event recommendations.
Fully functional event catalog with filters & search.
Secure user & admin login system.
Booking/RSVP system integrated with recommendations.
Feedback loop to continuously improve AI suggestions.
Analytics dashboard for admins.
Email/SMS notification system for users.

Why Choose This Project?

This project demonstrates the integration of AI/ML with real-world event management, showcasing skills in recommendation systems, data analytics, full-stack development, and user engagement tracking. It’s highly relevant for academic, startup, and freelance use cases, as event recommendation is widely used in platforms like Meetup, Eventbrite, and BookMyShow.

This Course Fee: