Ask "Where is the nearest faculty office?" — TEDU Guide understands you, finds your location via WiFi, and guides you there in seconds.
An intelligent campus companion that combines indoor positioning, AI agents, and natural language to make navigation effortless.
TEDU Guide is an AI-powered intelligent campus navigation system designed to assist students and staff in navigating within TED University.
The system integrates indoor positioning techniques using WiFi routers to determine the user's real-time location inside campus buildings. By leveraging natural language processing (NLP), users can interact through conversational queries.
The AI agent identifies user intent, retrieves relevant location or information from the campus database, and generates optimal navigation routes from the current position to the destination.
WiFi-based real-time positioning inside buildings
Intent detection and optimal route generation
Ask questions in plain language, get instant answers
Office hours, schedules, and facility details
From a natural language query to step-by-step navigation — all in seconds.
Type or speak naturally: "Where is the nearest faculty office?" or "How do I get to the swimming pool from Building A?" — no special syntax needed.
The NLP engine parses your query, extracts the destination or information request, and queries the campus knowledge base.
Your current WiFi position is triangulated, and the optimal path — considering floors, elevators, and accessibility — is computed instantly.
Step-by-step directions guide you to your destination, with contextual info like opening hours displayed along the way.
Computer Engineering students at TED University building the future of campus navigation.
TEDU Computer Engineering
TEDU Computer Engineering
TEDU Computer Engineering
All CMPE 491 / 492 reports are published here as they are submitted.
Project overview, team members, initial literature review.
Requirements, constraints, professional and ethical issues.
First version of the project TODO / Backlog document.
Functional & non-functional requirements, use cases, system models.
Updated project backlog and TODO document.
Architecture, subsystems, data management, access control.
Final version of the project backlog document.
25-minute oral presentation, poster, and live product demo.
Each version is published here as the project progresses through the semester.
Initial backlog with project tasks, priorities, sprint planning, and literature review.
Updated backlog reflecting mid-semester progress and revised priorities.
Final backlog with completed tasks, remaining work, and retrospective notes.