Nexora University Copilot

Nexora - AI-Powered University Communication Ecosystem

Project Overview

Nexora is an AI-powered voice chat application ecosystem designed to revolutionize university communication and support. Our comprehensive solution combines real-time voice conversations, intelligent AI agents, and modern web interfaces to create an seamless educational technology platform. Built for the Nexora 1.0 Inter-University Datathon 2025, this project demonstrates advanced AI agent orchestration, real-time communication, and intelligent user interaction capabilities.

The Nexora ecosystem consists of three integrated components working together to provide a complete AI-powered university communication solution.

System Architecture

Our project is organized into four main repositories, each handling a specific component of the Nexora ecosystem:

📱 Mobile Application

Flutter-based AI Voice Chat App

Real-time voice conversations with AI agents
Beautiful animated UI with voice visualizations
WebSocket communication for instant responses
Speech recognition and audio processing
Cross-platform mobile experience (iOS & Android)

🤖 AI Agentic System

Backend AI Engine & Agent Orchestration

Intelligent conversation processing
Voice-to-text and text-to-voice conversion
AI agent management and coordination
Machine learning pipeline integration

🌐 Web Application

University Chat Interface

University chatbot web interface
Web-based chat functionality
Real-time messaging system

🎨 Landing Page

Marketing Platform & Competition Entry

Modern Next.js 15 landing page
Competition showcase and information
Responsive design with dark/light theme
Built by Team RexFlow for Nexora 1.0 Datathon

Watch This Demo

Features

Core Features

Real-time Voice Chat: Instant AI-powered voice conversations
Cross-platform Mobile App: Native experience on iOS and Android
Intelligent AI Agents: Advanced conversation processing and responses
Web Chat Interface: Browser-based chatbot for universities
WebSocket Communication: Real-time bidirectional data exchange
Speech Recognition: Advanced voice-to-text capabilities
Voice Synthesis: Natural AI voice responses

Additional Features

Beautiful Animations: Dynamic voice wave patterns and breathing effects
Multi-platform Support: Mobile, web, and backend integration
Secure Communication: Encrypted real-time data transmission
User Authentication: Secure user management system
Chat History: Persistent conversation storage
Permission Management: Granular device permission control

Tech Stack

Mobile Frontend (Flutter App)

Frontend: Flutter 3.29.1, Dart, Material Design 3
State Management: BLoC Pattern, Injectable DI
Navigation: Auto Route
Audio: Record Package, AudioPlayers
Communication: WebSocket, JSON

Backend (AI Agentic System)

Backend: Laravel (PHP framework)
Real-time Communication: Pusher (WebSocket service)
Authentication & Authorization: Spatie Laravel Permission (Role management)
Database: MySQL
AI/ML: OpenAI Whisper (Small model - 244M parameters)
Voice Processing: OpenAI Whisper for speech recognition and transcription
Communication: WebSocket Gateway, REST APIs

Web Application

Frontend: Next.js (React-based framework)
Backend: Laravel (PHP framework)
Database: MySQL

Live Infrastructure

Our complete Nexora ecosystem is deployed and running live on AWS cloud infrastructure:

AWS Architecture

🖥️ EC2 Instance 1: Laravel backend server
🖥️ EC2 Instance 2: FastAPI AI processing server
🗄️ Amazon RDS: Managed relational database service
📊 Sentry: Real-time error tracking and performance monitoring
🌐 Load Balancing: Distributed across multiple availability zones

Monitoring & Operations

Error Tracking: Sentry integration for real-time error monitoring
Performance Monitoring: Application performance insights and alerting
Database Management: Amazon RDS for scalable and reliable data storage
Auto-scaling: EC2 instances configured for dynamic scaling based on demand

🚀 Live Demo: https://nexora-chat.vercel.app/

Screenshots/Demo

Mobile Application Demo

Mobile app UI design created in Figma showcasing the voice chat interface and animations

Nexora mobile app home screen showing the clean and intuitive user interface

Active voice chat mode with real-time voice visualization and AI interaction interface

Additional screenshots and demo videos available in the mobile app repository

Web Application Demo

Nexora web application home page featuring the university chatbot interface built with Next.js

Additional screenshots and demo videos available in the web app repository

Overall System Architecture

Complete Nexora ecosystem architecture diagram showing all components and their interactions

📊 Interactive Architecture Diagram (Click to expand)

flowchart TD
    %% Users Layer
    MobileUser["📱 Mobile User<br/>(Flutter App)"]
    WebUser["🌐 Web User<br/>(Next.js)"]

    %% Frontend Layer
    subgraph Frontend["Frontend Layer"]
        Mobile["📱 Mobile App<br/>Flutter 3.29.1<br/>• BLoC State Management<br/>• Auto Route Navigation<br/>• Material Design 3<br/>• WebSocket Client<br/>• Audio Recording"]
        Web["🌐 Web Application<br/>Next.js<br/>• React Framework<br/>• University Chat Interface<br/>• Landing Pages<br/>• Responsive Design"]
    end

    %% Communication Layer
    subgraph Communication["Communication Layer"]
        WebSocket["📡 WebSocket<br/>Pusher Service<br/>• Real-time messaging<br/>• Voice data streaming<br/>• Connection management"]
        RestAPI["🔗 REST APIs<br/>Laravel Endpoints<br/>• Authentication<br/>• Data operations<br/>• File uploads"]
    end

    %% Backend Services
    subgraph Backend["Backend Services Layer"]
        Laravel["🛠️ Laravel Backend<br/>EC2 Instance 1<br/>• User Authentication<br/>• Spatie Permissions<br/>• Chat Management<br/>• API Gateway"]
        FastAPI["🤖 FastAPI AI Server<br/>EC2 Instance 2<br/>• Voice Processing<br/>• AI Agent Orchestration<br/>• OpenAI Whisper Integration<br/>• ML Pipeline"]
    end

    %% AI/ML Layer
    subgraph AI["AI/ML Processing"]
        Whisper["🎤 OpenAI Whisper<br/>Small Model (244M)<br/>• Speech-to-Text<br/>• Language Detection<br/>• Audio Transcription"]
        AIAgent["🧠 AI Agents<br/>• Conversation Processing<br/>• Response Generation<br/>• Context Management"]
    end

        %% Data Layer
    subgraph Data["Data Layer"]
        MySQL["🗄️ MySQL Database<br/>Amazon RDS<br/>• User Data<br/>• Chat History<br/>• Authentication<br/>• Analytics<br/>• Voice Transcriptions"]
    end

    %% Infrastructure Layer
    subgraph Infrastructure["AWS Infrastructure"]
        LoadBalancer["⚖️ Load Balancer<br/>• Traffic Distribution<br/>• High Availability<br/>• Auto-scaling"]
    end

    %% External Services
    subgraph External["External Services"]
        Sentry["📊 Sentry Monitoring<br/>• Error Tracking<br/>• Performance Metrics<br/>• Real-time Alerts<br/>• Application Monitoring"]
    end

    %% User Connections
    MobileUser --> Mobile
    WebUser --> Web

    %% Frontend to Communication
    Mobile --> WebSocket
    Mobile --> RestAPI
    Web --> RestAPI

    %% Communication to Backend
    WebSocket --> Laravel
    RestAPI --> Laravel

    %% Backend Connections
    Laravel --> MySQL
    Laravel --> FastAPI
    FastAPI --> Whisper
    FastAPI --> AIAgent
    FastAPI --> MySQL

        %% Infrastructure Connections
    LoadBalancer --> Laravel
    LoadBalancer --> FastAPI

    %% External Service Connections
    Sentry --> Laravel
    Sentry --> FastAPI

    %% Styling
        classDef userLayer fill:#e3f2fd,stroke:#1976d2,stroke-width:2px
    classDef frontendLayer fill:#f3e5f5,stroke:#7b1fa2,stroke-width:2px
    classDef commLayer fill:#e8f5e8,stroke:#388e3c,stroke-width:2px
    classDef backendLayer fill:#fff3e0,stroke:#f57c00,stroke-width:2px
    classDef aiLayer fill:#fce4ec,stroke:#c2185b,stroke-width:2px
    classDef dataLayer fill:#f1f8e9,stroke:#689f38,stroke-width:2px
    classDef infraLayer fill:#f5f5f5,stroke:#616161,stroke-width:2px
    classDef externalLayer fill:#fff8e1,stroke:#ff8f00,stroke-width:2px

    class MobileUser,WebUser userLayer
    class Mobile,Web frontendLayer
    class WebSocket,RestAPI commLayer
    class Laravel,FastAPI backendLayer
    class Whisper,AIAgent aiLayer
    class MySQL dataLayer
    class LoadBalancer infraLayer
    class Sentry externalLayer

Complete Nexora ecosystem architecture showing the integration of mobile app, web application, AI processing, and AWS infrastructure

Setup Instructions

To run the complete Nexora ecosystem locally, you'll need access to several external services and APIs. Follow the setup instructions for each component:

Prerequisites & External Services

Before setting up the local environment, ensure you have access to the following services:

Required API Keys & Services:

🤖 OpenAI API: Required for AI conversation processing and language models
📊 Logfire API: Required for advanced logging and monitoring
📈 Sentry API: Required for error tracking and performance monitoring
☁️ AWS RDS URL: Required for database connectivity (alternatively, set up local MySQL)
🎤 OpenAI Whisper Model: Can be run locally (Small model - 244M parameters)

Environment Variables:

Create .env files in each repository with the following required variables:

# OpenAI Configuration
OPENAI_API_KEY=your_openai_api_key_here

# Logfire Configuration
LOGFIRE_API_KEY=your_logfire_api_key_here

# Sentry Configuration
SENTRY_DSN=your_sentry_dsn_here

# Database Configuration
AWS_RDS_URL=your_aws_rds_connection_string
# OR for local development:
DB_CONNECTION=mysql
DB_HOST=127.0.0.1
DB_PORT=3306
DB_DATABASE=nexora_local
DB_USERNAME=your_username
DB_PASSWORD=your_password

# Pusher Configuration (for WebSocket)
PUSHER_APP_ID=your_pusher_app_id
PUSHER_KEY=your_pusher_key
PUSHER_SECRET=your_pusher_secret

If you Love be Alpha tester on Production Application use below credentials to login (Its not fully functional due limited resources and time but soon will be full update to latest code)

Email : test-user@nexora.com OTP : 123456

Local Development Setup

To run the complete Nexora ecosystem locally, follow the setup instructions for each component:

1. Mobile Application Setup

# Clone the mobile app repository
git clone https://github.com/MS-Rex/nexora-app.git
cd nexora-app

# Install Flutter dependencies
flutter pub get

# Generate required files
dart run build_runner build --delete-conflicting-outputs

# Run the mobile application
flutter run

2. AI Agentic System Setup

# Clone the AI system repository
git clone https://github.com/MS-Rex/nexora-ai.git
cd nexora-ai

# [Placeholder: Installation instructions]
# Follow setup instructions in the AI system repository

3. Web Application Setup

# Clone the web app repository
git clone https://github.com/nilanviduranga/uni-chat-bot.git
cd uni-chat-bot

# [Placeholder: Installation instructions]
# Follow setup instructions in the web application repository

Alternative Local Setup (Without External Services)

If you prefer to run everything locally without external dependencies:

Local MySQL Setup:

# Install and configure local MySQL
sudo apt-get install mysql-server  # Ubuntu/Debian
brew install mysql                 # macOS

# Create local database
mysql -u root -p
CREATE DATABASE nexora_local;

Local Whisper Setup:

# Install OpenAI Whisper locally
pip install openai-whisper

# Download the small model (244M parameters)
whisper --model small --download-root ./models

Minimal Environment Configuration:

For basic local development, you can use minimal configuration:

# Minimal .env for local development
DB_CONNECTION=mysql
DB_HOST=127.0.0.1
DB_DATABASE=nexora_local
WHISPER_MODEL_PATH=./models/small.pt

Refer to the individual repository README files for component-specific configuration details and additional setup options.

Repository Links

Component	Repository	Description
📱 Mobile App	nexora-app	Flutter-based AI voice chat mobile application
🤖 AI System	nexora-ai	Backend AI engine and agent orchestration
🌐 Web App	uni-chat-bot	Web interface and landing page

Team

Team Member 1 – AI/ML & Mobile Developer & Project Lead
Team Member 2 – AI/ML Engineer & Backend Developer
Team Member 3 – Web Developer & Frontend Developer
Team Member 4 – UI/UX Designer & API Integration Specialist

Team RexFlow - Where AI meets innovation and data fuels transformation!

Documentation

Mobile App Documentation: Available in nexora-app repository
AI System Documentation: Available in nexora-ai repository
Web App Documentation: Available in uni-chat-bot repository

Competition Details

🏆 Nexora 1.0 Inter-University Datathon 2025

This project represents a complete AI-powered university communication ecosystem, showcasing:

Advanced AI agent orchestration
Real-time voice and text communication
Cross-platform mobile and web applications
Intelligent conversation processing
Modern UI/UX design principles

Prizes: 🥇 LKR 50,000 | 🥈 LKR 30,000 | 🥉 LKR 20,000

Submission

Developed for Nexora 1.0 – Round 2
Submission Date: 12th June 2025

Live Demo: https://nexora-chat.vercel.app/ Project Website: nexora.msanjana.com

Contact & Support

📧 Email: miyurusanjana@gmail.com
🌐 Website: https://nexora-chat.vercel.app/
💬 Issues: Use the individual repository issue trackers

Made with ❤️ by Team RexFlow
Transforming university communication through AI-powered innovation

Name		Name	Last commit message	Last commit date
Latest commit History 12 Commits
images		images
README.md		README.md
output.html		output.html

Folders and files

Latest commit

History

Repository files navigation

Nexora University Copilot

Project Overview

System Architecture

📱 Mobile Application

🤖 AI Agentic System

🌐 Web Application

🎨 Landing Page

Features

Core Features

Additional Features

Tech Stack

Mobile Frontend (Flutter App)

Backend (AI Agentic System)

Web Application

Live Infrastructure

AWS Architecture

Monitoring & Operations

Screenshots/Demo

Mobile Application Demo

Web Application Demo

Overall System Architecture

Setup Instructions

Prerequisites & External Services

Required API Keys & Services:

Environment Variables:

If you Love be Alpha tester on Production Application use below credentials to login (Its not fully functional due limited resources and time but soon will be full update to latest code)

Local Development Setup

1. Mobile Application Setup

2. AI Agentic System Setup

3. Web Application Setup

Alternative Local Setup (Without External Services)

Local MySQL Setup:

Local Whisper Setup:

Minimal Environment Configuration:

Repository Links

Team

Documentation

Competition Details

Submission

Contact & Support

About

Topics

Resources

Uh oh!

Stars

Watchers

Forks

Releases

Packages 0

Uh oh!

Contributors

Uh oh!

Languages

Packages