Project Details
Project Information
- Category: Cross-Platform Mobile Application
- Developers: Shah Zaib & Shazad Akbar
- Project Date: July 2025 (Final Year Project)
- Tech Stack: Flutter, PHP, MySQL, Retrieval-Augmented Generation (RAG)
- Project URL: Source Code
Final Year Project: Intelligent Chatbot System Advising Students (CuiMate)
We are pleased to present our Final Year Project titled "Intelligent Chatbot System Advising Students (CuiMate)", developed by Shah Zaib and Shazad Akbar, under the supervision of Dr. Waqas Jadoon.
This cross-platform mobile application is designed for Computer Science and Software Engineering students to provide academic support through an intelligent, interactive chatbot. Acting as a virtual DOO, it answers academic queries according to HEC and university guidelines, helping students plan their studies and stay on track to complete their degree in the standard four years.
Key Features
Intelligent Chatbot
Answers academic queries based on HEC and university schemes of study.
Course Tracking
Monitors failed or withdrawn courses and their prerequisites for planning.
Timetable Generator
Generates conflict-free timetables with multi-section options for irregular students.
Real-time Notifications
Keeps students updated with academic announcements and deadlines.
Student Portal
Includes timetable, profile management, and result viewing features.
The system was built using Flutter for frontend, PHP & MySQL for backend, and Retrieval-Augmented Generation (RAG) for intelligent chatbot-driven responses.
This solution reduces the workload on academic advisors, improves planning for students, and ensures reliable academic information is always accessible.
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