Data-Science-and-Insight-Agent-RAG-LLama3-Lava-LLM-Django-WebApplication

Overview

Data-Science-and-Insight-Agent-RAG-LLama3-Lava-LLM-Django-WebApplication is an advanced AI-driven chatbot designed to assist in data science, document analysis, and image interpretation. It leverages powerful technologies, including Llama 2 and Lava LLMs, to provide automated insights and answer queries across various domains. The tool supports data processing, document querying, and image analysis, helping users make data-driven decisions efficiently.This repository contain the Django based Web Application of this project

Features

• Data Science Insights: Automates the processing of CSV, XLSX, and other data formats through comprehensive pipelines.
• Document Analysis: Handles TXT, DOCX, and PDF files, extracting and analyzing key textual information.
• Image Insight: Provides image interpretation and insight extraction using advanced AI algorithms.
• General Q&A: Responds to a wide range of user queries with insights and information on demand.
• Django-Based Web Application: Provides a web interface for managing and interacting with the chatbot.
• REST APIs: Supports integration via APIs for accessing insights programmatically.

Demostration

https://github.com/user-attachments/assets/6aa49596-2bab-4067-91da-731e0395b983

https://github.com/user-attachments/assets/5c111eb8-9c75-475f-9fac-b4e7d8ae0abf

Limitations

• Data Complexity: May require additional customization for extremely complex or unstructured data.
• Language Support: Currently optimized for English, with potential accuracy variations in other languages.
• Image Analysis: Limited to common objects and may not interpret rare or novel items accurately.
• Real-Time Data Updates: Requires additional development for real-time data integration and knowledge base updates.

Applications

• Business Analytics: Analyzes historical data to forecast trends, optimize resource allocation, and identify customer preferences.