Dynamic Event Scheduling and Conflict Resolution System | Source Code
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Dynamic Event Scheduling and Conflict Resolution System

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Complete final-year project source code with frontend, backend, database, and setup guide. Instant download after secure payment.

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  • Database script included
  • How-to-run guide
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Project Overview

Description, tech stack, and what is included

Full source Frontend + backend
Database .sql file
Setup guide README included

FestivalOS is a smart and scalable festival management web application developed using Python, Flask, SQLAlchemy, SQLite, Bootstrap 5, and scikit-learn. The system is designed for large-scale festival operations and helps manage events, venues, resources, participants, and schedule conflicts through an intelligent web platform. This project includes a public landing page, a secure admin console, and a dedicated user portal for attendees, volunteers, performers, coordinators, and administrators. The core highlight of the system is its constraint-aware event scheduling engine, conflict detection module, and machine-learning–assisted priority scoring for better slot recommendations. FestivalOS is an ideal final year college project for students looking to build a real-world event management and scheduling system using Flask and Python.

Technical snapshot

Project
Dynamic Event Scheduling and Conflict Resolution System
Stack
MACHINE-LEARNING
Includes
Code, DB, README
License
Academic submission
Secure CCAvenue payment · Instant download · Need help? WhatsApp us

Admin Features

Modules and controls available to administrators

  • Secure admin login with role-based access control
  • Professional admin dashboard with festival statistics
  • User management with search, edit, role assignment, and permissions
  • Venue management with capacity, venue type, sound limit, and availability
  • Resource management with quantity tracking and category handling
  • Event management with create, update, delete, clone, and registration approval
  • Schedule version management with draft, final, and published states
  • Manual slot assignment for events and venues
  • Automatic schedule generation using machine learning recommendations
  • Conflict detection for overlapping events, venue clashes, and scheduling issues
  • Conflict resolution and status tracking
  • ML Studio to train and retrain RandomForest model on event data
  • Event priority ranking with confidence-based score output
  • Notification broadcasting to all users or selected attendee groups
  • Feedback review and complaint resolution
  • Attendance management for registered participants
  • Report generation in CSV and PDF format
  • SQLite database backup export
  • Super admin features for system settings, admin account creation, and activity logs

User Features

What end users can do in this application

  • Secure user registration and login
  • User dashboard with registration summary and notifications
  • Browse published and active festival events
  • View event details including venue, time, and description
  • Register for festival events online
  • Automatic waiting list when event capacity is full
  • Cancel event registration
  • View all my registrations with status updates
  • Personal event schedule based on registered slots
  • Festival-wide public schedule view
  • Conflict view for overlapping registered events
  • Add scheduling preferences and notes
  • Submit resource requests for linked events
  • In-app notifications with read and delete options
  • Notification preference settings
  • Submit feedback and complaints
  • View attendance records
  • Update profile and account information
  • Change password securely
  • Request account deletion
  • Export personal registration report in CSV format

Other Features

Additional capabilities included in the project

  • Public landing page with professional design
  • Authentication using email or username
  • Password change and forgot password module
  • CSRF protection using Flask-WTF
  • Login attempt lockout for security
  • Role-based route protection
  • Optional admin activity logging
  • Machine learning integration using scikit-learn
  • PDF report generation using ReportLab
  • Clean Bootstrap 5 responsive UI
  • SQLite database integration
  • Multi-role access for attendee, volunteer, performer, coordinator, admin, and super admin

How to Run

Step-by-step setup on your laptop or PC

  • Download or extract the source code project folder.
  • Open the project in VS Code, PyCharm, or any Python IDE.
  • Make sure Python 3.10 or above is installed.
  • Create and activate a virtual environment.
  • Install the required dependencies using:
    pip install -r requirements.txt
  • Run the Flask application using:
    python app.py
    or
    flask run
  • Open your browser and visit:
    http://127.0.0.1:5000/
  • Login as admin or user to access the respective dashboard.

Login Credentials

Default demo accounts for testing after setup

Admin Login
Email: [email protected]
Username: admin
Password: admin123

Super Admin Login
Email: [email protected]
Username: superadmin
Password: admin123

User Login
Email: [email protected]
Username: user
Password: user123

Use your seeded database credentials if your project already includes demo accounts.

License

Usage terms for academic and personal projects

Related Tags

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Dynamic Event Scheduling and Conflict Resolution System Source Code Final Year MACHINE-LEARNING Project Ready-to-Run Code With Database File Plagiarism-Free Faculty Approved
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