Home / Projects / Divine Insights: NLP Analysis of the Bhagavad Gita

Divine Insights: NLP Analysis of the Bhagavad Gita

Conducted NLP analysis using VADER for sentiment analysis and a TF-IDF based Q&A system. Developed a RAG-based chatbot powered by Mistral 7B and LangChain.

Completed

Project Overview

An innovative Natural Language Processing project that performs comprehensive analysis of the Bhagavad Gita, one of the most important spiritual texts. The project combines traditional NLP techniques with modern AI to create an intelligent system that can answer questions about the text and provide insights into its philosophical content.

Technologies Used

Python NLTK VADER TF-IDF Mistral 7B LangChain RAG Streamlit

Key Features

  • Sentiment analysis of verses using VADER
  • TF-IDF based question-answering system
  • RAG-powered chatbot using Mistral 7B
  • Interactive web interface built with Streamlit
  • Semantic search through verses and chapters
  • Context-aware response generation

Technical Challenges

  • Handling Sanskrit transliterations and translations
  • Maintaining philosophical context accuracy
  • Optimizing RAG pipeline for spiritual content
  • Balancing technical accuracy with spiritual sensitivity

Project Gallery

Project screenshots and diagrams will be added here

Interested in Learning More?

I'd be happy to discuss this project in detail or answer any questions you might have.

Get In Touch

Other Projects

Coordinated Multi-Agent Reinforcement Learning (Masters Thesis)

Designing a CMARL framework for autonomous vehicles to coordinate with human drivers in mixed-traffic environments using CARLA and PyTorch.

View Details

E-Commerce Data Analysis Pipeline

Big-data analysis pipeline leveraging AWS services for scalable data processing and exploratory insights on e-commerce data.

View Details

American Sign Language Detection System

CNN-based computer vision system for real-time American Sign Language gesture recognition with high accuracy performance.

View Details

Crude Oil Price Prediction Model

Time series forecasting model for predicting crude oil prices using advanced machine learning and statistical techniques.

View Details

CryptoApp - Mobile Encryption Tool

Android application for text encryption using Caesar Cipher and Binary Encryption algorithms with intuitive user interface.

View Details

Enhanced Data Augmentation and Synthesis

Implemented RAG to enhance review datasets using FAISS for vector storage and Sentence-BERT for semantic embeddings.

View Details