RAG Gemini Powered Chatbot for Aviation Data Analysis and Visualization

Overview

Developed an intelligent aviation data analysis chatbot using Retrieval Augmented Generation (RAG), combining vector store similarity search with precomputed summaries to efficiently process uploaded datasets and deliver rapid responses.

Features

• Efficient Data Processing: Utilizes vector store similarity search to quickly find relevant information
• Precomputed Summaries: Enhances response quality by leveraging precomputed data summaries
• Aviation-Specific Analysis: Trained specifically for aviation data interpretation
• Real-time Visualization: Generates data visualizations on demand

Technologies Used

• Python
• Gemini API
• Vector Databases
• RAG (Retrieval Augmented Generation)
• Data Visualization Libraries

Project Timeline

January 2025 - Present

GitHub Repository

View the source code and documentation on GitHub.

Demo

Contact me for a demonstration or more information about this project.