AI-Powered Smart Campus Assistant – Enhance Student Experience

Description

This issue proposes the creation of an AI-powered tool aimed at improving the overall student experience by simplifying campus life, improving organization, and fostering community engagement.

The project will address common challenges faced by students in navigating academic schedules, campus events, and opportunities through intelligent automation and personalization.

Goal

Design and build a functional and user-friendly application that leverages AI to assist students with everyday campus needs such as information retrieval, scheduling, and event recommendations.

Project Options

Choose one of the following focus areas for implementation:

Option A: AI Chatbot for Student Queries

Provide instant answers to questions about timetables, events, and facilities.

Use NLU/NLP to interpret conversational queries.

Include a simple chat interface for interaction.

Option B: Smart Scheduler / Reminder System

Allow students to input schedules, deadlines, and exams.

Generate intelligent reminders and notifications.

Optionally identify free slots and suggest optimal meeting times.

Option C: Personalized Event Recommender

Collect student interests and preferences.

Recommend campus events, clubs, and workshops tailored to each profile.

Display recommendations via dashboard, email, or notifications.

Tech Stack

Open choice of technologies for backend, frontend, and AI implementation.
Suggested options include:

Backend: Python (Flask/FastAPI), Node.js

Frontend: React, HTML/CSS

Database: SQLite, Firebase, MongoDB

AI/NLP: OpenAI API, spaCy, Hugging Face Transformers

Deliverables

Functional prototype of one chosen project option.

Well-structured and documented codebase.

README with setup, usage, and contribution guidelines.

Optional demo video or screenshots.

Tasks

Define chosen project scope (A/B/C).

Set up project repository structure.

Implement core functionality.

Integrate AI or rule-based logic.

Design and build user interface.

Add proper documentation and usage guide.

Conduct testing and prepare final demo.