- Overview
- Key Features
- Platform Comparison
- Screenshots
- Installation Guide
- Architecture
- Tech Stack
- Usage Examples
- Development Setup
- Performance
- Contributing
- License
- Acknowledgments
BUPBuddy is an intelligent AI-powered assistant specifically designed for Bangladesh University of Professionals (BUP). It provides instant, accurate, and contextual responses to academic queries, admission information, campus life questions, and administrative processes - available seamlessly across web, desktop, and mobile platforms.
To enhance the academic experience of BUP students, faculty, and staff by providing:
- Instant Information Access: Quick answers to frequently asked questions
- 24/7 Availability: Round-the-clock assistance
- Multi-Platform Support: Access anywhere, anytime
- Bilingual Interface: Full support for both English and বাΰ¦ΰ¦²ΰ¦Ύ
- Context-Aware Responses: Personalized assistance based on user context
- Gemini Pro Integration: Advanced natural language understanding and generation
- Contextual Memory: Remains aware of conversation history
- Predictive Assistance: Anticipates user needs based on context
- Knowledge Base: University-specific information integration
- Smart Recommendations: Suggests relevant resources and actions
graph TB
A[User] --> B[Web Platform]
A --> C[Desktop App]
A --> D[Mobile App]
B --> E[(Cloud Sync Service)]
C --> E
D --> E
E --> F[Gemini AI Processing]
E --> G[Knowledge Base]
E --> H[User Preferences]
F --> I[Unified Response]
G --> I
H --> I
I --> B
I --> C
I --> D
| Feature | Mobile App | Desktop App | Web Platform |
|---|---|---|---|
| Always Available | β Push Notifications | β System Tray | β Browser Tab |
| Offline Access | β Limited Mode | β Full Offline | β Requires Internet |
| Document Handling | πΈ Camera Scanning | π Drag & Drop | βοΈ Cloud Upload |
| Campus Navigation | πΊοΈ GPS + AR Guide | πΊοΈ Map View | πΊοΈ Interactive Map |
| Voice Commands | π€ Hands-free | π€ Push-to-talk | π€ Browser API |
| Background Service | β Always Running | β Minimized Mode | β Tab Dependent |
- Theme Switching: Seamless transition between day/night modes
- Responsive Design: Optimized for all screen sizes
- Accessibility: Screen reader support, high contrast modes
- Performance: Fast loading, minimal resource consumption
- Customization: Personalizable interface elements
| Day Mode | Night Mode |
|---|---|
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| English Interface | বাΰ¦ΰ¦²ΰ¦Ύ Interface |
|---|---|
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| Project Management | Task Tracking |
|---|---|
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Instant Access:
# Simply visit in any modern browser:
https://40ylgxhnaqz19wmzb7fs7a.on.drv.tw/www.bupbuddy.com/BUPBuddy/chatbot.htmlProgressive Web App (PWA) Installation:
- Visit the web application
- Click the "Install" icon in your browser's address bar
- Launch from your desktop or mobile home screen
Windows Installation:
# Using Winget (Recommended)
winget install BUP.BUPBuddy
# Manual Installation
# 1. Download installer from releases page
# 2. Run BUPBuddy-Setup-x.x.x.exe
# 3. Follow installation wizardmacOS Installation:
# Using Homebrew
brew install --cask bupbuddy
# Manual Installation
# 1. Download BUPBuddy-x.x.x.dmg
# 2. Open disk image and drag to Applications
# 3. Grant necessary permissionsLinux Installation:
# Using Snap (Recommended)
sudo snap install bupbuddy
# Using AppImage
chmod +x BUPBuddy-x.x.x.AppImage
./BUPBuddy-x.x.x.AppImageAndroid Installation:
# Via Google Play Store
# Search for "BUPBuddy AI Assistant"
# Via APK
adb install BUPBuddy-v1.0.0-android.apk
# Manual Installation
# 1. Download APK from releases
# 2. Enable "Install from unknown sources"
# 3. Install and launchiOS Installation:
# TestFlight (Beta Access)
# Visit: https://testflight.apple.com/join/ABC123DEF
# App Store (When Available)
# Search for "BUPBuddy AI Assistant"graph TB
subgraph "Presentation Layer"
A[Web Client] --> F
B[Desktop App] --> F
C[Mobile App] --> F
end
subgraph "API Gateway"
F[Load Balancer]
F --> G[Authentication Service]
F --> H[Request Router]
end
subgraph "Application Layer"
I[AI Processing Service]
J[Document Processing]
K[Notification Service]
L[Sync Service]
end
subgraph "Data Layer"
M[(User Database)]
N[(Knowledge Base)]
O[(Conversation History)]
P[(File Storage)]
end
subgraph "External Services"
Q[Google Gemini AI]
R[Translation Service]
S[Push Notification]
T[Cloud Storage]
end
G --> I
H --> I
I --> Q
I --> R
J --> T
K --> S
L --> M
L --> O
erDiagram
User ||--o{ Conversation : initiates
User ||--o{ Document : uploads
User ||--o{ Preference : configures
User {
string userId PK
string email UK
string displayName
string role
json preferences
datetime createdAt
datetime lastActive
}
Conversation {
string conversationId PK
string userId FK
string platform
json messages
string language
datetime startedAt
datetime updatedAt
}
Document {
string documentId PK
string userId FK
string fileName
string fileType
string storagePath
json metadata
datetime uploadedAt
}
Preference {
string preferenceId PK
string userId FK
string theme
string language
json notificationSettings
datetime updatedAt
}
| Platform | Framework | UI Library | State Management |
|---|---|---|---|
| Web | React 18 + Vite | Material-UI | Context API + Zustand |
| Desktop | Electron 25 | Chakra UI | Redux Toolkit |
| Mobile | React Native 0.72 | NativeBase | MobX |
- API Server: Node.js + Express.js
- AI Integration: Google Gemini Pro API
- Authentication: JWT + OAuth 2.0
- Database: MongoDB Atlas
- Real-time Sync: Socket.io + Redis
- File Storage: Cloudinary + AWS S3
- Version Control: Git + GitHub
- CI/CD: GitHub Actions
- Project Management: Jira Software
- API Testing: Postman + Swagger
- Monitoring: Sentry + LogRocket
- Analytics: Google Analytics 4
// Example: Asking about course schedules
const query = "What is the schedule for CSE 301 classes this semester?";
const response = await bupBuddy.ask(query);
// Response: "CSE 301 classes are held on Sunday and Tuesday from 2:00 PM to 3:30 PM in Room 405..."# Processing academic documents
def analyze_document(file_path):
result = bupbuddy.process_document(file_path)
return {
"summary": result.extract_summary(),
"key_points": result.get_key_points(),
"suggestions": result.get_study_suggestions()
}// Mobile: Finding a location on campus
fun navigateToBuilding(buildingName: String) {
val route = CampusNavigator.findRoute(
currentLocation = getGPSLocation(),
destination = buildingName
)
ARView.showNavigationOverlay(route)
}AI Response Handler:
// client/src/services/aiService.js
import { GoogleGenerativeAI } from '@google/generative-ai';
class AIService {
constructor() {
this.genAI = new GoogleGenerativeAI(import.meta.env.VITE_GEMINI_API_KEY);
this.model = this.genAI.getGenerativeModel({
model: "gemini-pro",
safetySettings: [
{
category: "HARM_CATEGORY_HARASSMENT",
threshold: "BLOCK_MEDIUM_AND_ABOVE"
}
],
generationConfig: {
temperature: 0.7,
topK: 40,
topP: 0.95,
maxOutputTokens: 1024,
}
});
this.conversationHistory = new Map();
}
async getResponse(userId, message, context = {}) {
try {
// Get conversation history
const history = this.conversationHistory.get(userId) || [];
// Prepare prompt with context
const prompt = this.formatPrompt(message, context, history);
// Get AI response
const result = await this.model.generateContent(prompt);
const response = await result.response;
const text = response.text();
// Update conversation history
history.push({ role: 'user', content: message });
history.push({ role: 'assistant', content: text });
// Keep last 10 messages
if (history.length > 20) {
history.splice(0, 4);
}
this.conversationHistory.set(userId, history);
return {
success: true,
message: text,
timestamp: new Date().toISOString(),
sources: this.extractSources(text)
};
} catch (error) {
console.error('AI Service Error:', error);
return {
success: false,
message: "I apologize, but I'm having trouble processing your request. Please try again.",
error: error.message
};
}
}
formatPrompt(userMessage, context, history) {
const systemPrompt = `You are BUPBuddy, an AI assistant for Bangladesh University of Professionals.
Context: ${JSON.stringify(context)}
Current Date: ${new Date().toDateString()}
Guidelines:
1. Provide accurate information about BUP
2. If unsure, say so and suggest contacting relevant department
3. Be concise but thorough
4. Support both English and বাΰ¦ΰ¦²ΰ¦Ύ
5. Maintain helpful, professional tone
Previous conversation: ${JSON.stringify(history.slice(-4))}
User: ${userMessage}`;
return systemPrompt;
}
}
export default new AIService();Theme Management:
// client/src/contexts/ThemeContext.jsx
import React, { createContext, useState, useEffect } from 'react';
export const ThemeContext = createContext();
export const ThemeProvider = ({ children }) => {
const [theme, setTheme] = useState(() => {
const savedTheme = localStorage.getItem('bupbuddy-theme');
return savedTheme || (window.matchMedia('(prefers-color-scheme: dark)').matches ? 'dark' : 'light');
});
useEffect(() => {
localStorage.setItem('bupbuddy-theme', theme);
if (theme === 'dark') {
document.documentElement.classList.add('dark');
document.documentElement.style.setProperty('--primary-color', '#4e89ae');
document.documentElement.style.setProperty('--background-color', '#1a1a1a');
document.documentElement.style.setProperty('--text-color', '#ffffff');
} else {
document.documentElement.classList.remove('dark');
document.documentElement.style.setProperty('--primary-color', '#4e89ae');
document.documentElement.style.setProperty('--background-color', '#ffffff');
document.documentElement.style.setProperty('--text-color', '#333333');
}
}, [theme]);
const toggleTheme = () => {
setTheme(prev => prev === 'light' ? 'dark' : 'light');
};
return (
<ThemeContext.Provider value={{ theme, toggleTheme }}>
{children}
</ThemeContext.Provider>
);
};- Node.js 18+ and npm
- Google Gemini API Key
- MongoDB Atlas account
- Git
# Clone repository
git clone https://github.com/your-username/BUPBuddy-AI-Assistant.git
cd BUPBuddy-AI-Assistant
# Install dependencies
cd backend
npm install
# Configure environment
cp .env.example .env
# Edit .env with your configurations:
# GEMINI_API_KEY=your_key_here
# MONGODB_URI=your_mongodb_connection
# JWT_SECRET=your_secret_key
# Start development server
npm run devcd ../client-web
npm install
npm run devcd ../client-desktop
npm install
npm run electron:devcd ../client-mobile
npm install
npm run android # or npm run ios# docker-compose.yml
version: '3.8'
services:
backend:
build: ./backend
ports:
- "5000:5000"
environment:
- NODE_ENV=production
- MONGODB_URI=mongodb://mongo:27017/bupbuddy
mongo:
image: mongo:latest
volumes:
- mongo_data:/data/db
web:
build: ./client-web
ports:
- "3000:3000"
volumes:
mongo_data:| Platform | Initial Load | AI Response | File Processing |
|---|---|---|---|
| Web | 1.8s | 1.2s | 3.8s |
| Desktop | 2.1s | 0.8s | 1.2s |
| Mobile | 2.5s | 1.5s | 4.5s |
- Memory: < 150MB average usage
- CPU: < 5% average utilization
- Network: ~50KB per request/response
- Storage: < 100MB installation size
We welcome contributions from the BUP community and developers worldwide!
- Fork the Repository
- Create a Feature Branch
git checkout -b feature/amazing-feature
- Make Your Changes
- Commit with Descriptive Messages
git commit -m "feat: add campus navigation feature" - Push to Your Branch
git push origin feature/amazing-feature
- Open a Pull Request
- Follow existing code style and structure
- Write comprehensive tests for new features
- Update documentation accordingly
- Ensure accessibility standards are met
- Add comments for complex logic
When reporting issues, please include:
- Platform and version
- Steps to reproduce
- Expected vs actual behavior
- Screenshots if applicable
- Error logs
This project is developed for educational purposes at Bangladesh University of Professionals. It is free for use by all BUP students, faculty, and staff.
Usage Restrictions:
- Commercial use prohibited without permission
- Modification and distribution allowed for academic purposes
- Attribution to original authors required
- No warranty provided
- Project Lead: [Jablay Noor Rahman]
- AI Integration: Google Gemini Pro API
- UI/UX Design: Jablay Noor Rahman
- Testing: BUP Student Volunteers





