🎓 LPU Assist – AI-Powered University Admission Chatbot

📌 Overview

LPU Assist is a domain-specific AI chatbot developed to provide intelligent, real-time university admission guidance for students. The chatbot acts as a virtual admission counsellor capable of answering queries related to admissions, eligibility, scholarships, fees, and campus visits using Generative AI.

Unlike traditional rule-based systems, LPU Assist delivers:

• 💬 Natural conversational interaction
• 🧠 Context-aware responses
• ⚡ Real-time intelligent guidance
• 🎯 Domain-specific query handling

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🚀 Features

• 🤖 AI-powered admission chatbot
• 📚 Course recommendation system
• 🏫 Campus visit booking support
• 🔍 Eligibility and fee guidance
• 💡 Scholarship information support
• ⚙️ REST API integration
• 🔄 Session-based interaction
• 📱 Responsive chat interface

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🧩 Tech Stack

Technology	Purpose
React.js	Frontend UI
Node.js	Backend Runtime
Express.js	REST API Server
Axios	API Communication
Retell AI API	Generative AI Responses
CSS / Tailwind	Styling

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📂 Project Structure

LPU-Assist/
│
├── frontend/
│   ├── components/
│   ├── pages/
│   └── App.js
│
├── backend/
│   ├── routes/
│   ├── controllers/
│   └── server.js
│
├── api/
├── assets/
└── README.md

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🔗 API Endpoints

Endpoint	Description
/session	Creates chatbot session
/message	Handles AI conversation

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🎯 Problem Statement

Students often face challenges such as:

• Understanding admission procedures
• Checking eligibility requirements
• Finding accurate scholarship information
• Getting instant counselling support

LPU Assist addresses these issues using Generative AI and intelligent conversational workflows.

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🛠️ Objectives

✅ Identify a meaningful real-world problem ✅ Apply Generative AI for domain-specific assistance ✅ Demonstrate API-based AI integration ✅ Build a scalable chatbot architecture ✅ Present structured technical documentation

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📊 Key Metrics

Metric	Value
Total Pages	3+
Reusable Components	10+
API Endpoints	2+
Mock Data Points	20+
Average Build Time	~500–700ms
Dev Server Startup	~300ms

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🔮 Future Scope

• 📢 Smart notifications and reminders
• 🌐 Multi-language support
• 🎙️ Voice-enabled counselling
• 📈 Student dashboard integration
• 🧾 AI-generated admission assistance reports

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👨‍💻 Developed By

Ashmit Raj Mohd Sahil Ayush Viskarma B.Tech CSE Students Lovely Professional University

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⭐ Support

If you like this project, give it a ⭐ on GitHub.