# CultureBot – AI Travel + Culture Educator

A unique, globally‑useful open‑source project designed to educate users about travel and cultural etiquette through interactive lessons, quizzes, badges, and a map interface.

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## 🧠 1. Project Overview

CultureBot is an AI‑powered, open‑source cultural educator that:

- Teaches greetings, etiquette, and travel insights specific to different countries  
- Features interactive quizzes, achievement badges, and a globe map of ‘visited’ countries

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## ⚙ 2. Tech Stack

- *Frontend*  
  - Streamlit 

- *Backend & AI (inferred)*  
  - FastAPI  

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## 👥 3. Team Roles

| Name              | Role                            | 
| ----------------- | ------------------------------- | 
| Raghavender Reddy | Project Lead & AI Engineer      | 
| Deekshith Mamidi  | Frontend Developer              | 
| Sanjay Reddy      | Backend Developer               | 
| PRANAV KUMAR      | Data Scientist / NLP Specialist | 
| Venkateswar Rao   | Tester & Docs Lead              | 
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## 🚧 4. Challenges Faced

a. **Cultural Nuance & Authenticity**  
   - Avoiding stereotypes and ensuring respectful representation  

b. **Scalable Content Modeling**  
   - Supporting varying lesson formats and badges per country  

c. **Responsive & Accessible UI**  
   - Readability and usability optimized for all platforms  

d. **Localization & Internationalization**  
   - Preserving meaning and sensitivity during translation  

e. **Open‑Source Community Coordination**  
   - Managing contributions and maintaining contributor standards 

##  5.✅ Future Improvements

- Real-time translation
- User feedback and contribution system
- Expanded cultural database

## 6.Summary

CultureBot is an open-source AI-powered app that teaches users global cultural etiquette and travel tips. Built using Streamlit and FastAPI, it offers interactive lessons, quizzes, achievement badges, and a map interface. The team tackled challenges like cultural sensitivity, UI accessibility, and content scalability. Future upgrades include real-time translation, user contributions, and a richer cultural database.