This project aims to create an AI-powered virtual tour guide that uses a text-to-speech engine to provide informative narrations about various locations and allows users to ask questions about the place they are visiting.

• Interactive tour guide with text-to-speech capabilities.
• Easy-to-use interface for users to interact with the AI guide.
• Continuous integration and deployment for seamless updates.

• Conduct brainstorming sessions to outline the project scope and features.
• Research existing solutions and technologies for virtual tour guides.

• Evaluate TTS models
• Experiment with pre-trained models and select the most suitable ones.

• Webscrape data for various locations
• Implement a Retrieval-Augmented Generation (RAG) system to pull up facts and information in response to user questions.
• Integrate the RAG system with the NLP model to enhance the accuracy and relevance of responses.
• Source and preprocess data to be used by the RAG system.

• Set up the backend framework (Flask/Django).
• Develop RESTful APIs for fetching location data and processing user queries.
• Integrate text-to-speech and NLP models into the backend.

• Set up the frontend framework (React/Angular).
• Design and implement the user interface for the virtual tour guide.

• Integrate frontend with backend APIs.
• Conduct unit and integration tests for both frontend and backend.
• Perform user testing sessions to gather feedback.

• Set up cloud infrastructure (e.g., AWS, Google Cloud) for deployment.
• Configure continuous integration (CI) pipelines using tools like Jenkins or GitHub Actions.
• Prepare for continuous deployment (CD) to ensure seamless updates.

• Conduct end-to-end testing to ensure all features work as expected.
• Monitor application performance and user feedback.
• Make Detailed documentation about the project