Pinned Repositories
billionaires-rag-query
Billionaires RAG Query uses LLMs and a RAG framework to analyze the world's billionaires list. Extracts tabular data from PDFs, converts to multiple formats, and enables precise queries about net worth, age, and more. Integrates with Poetry and asdf for easy setup and management.
kafka-broker-eda-app
kafka-kraft-cluster
real-time-fraud-detection
detect potentially fraudulent transactions in real-time by analyzing payment transactions as they occur.
realtime-sentiment-stream
This project serves as a comprehensive guide to building an end-to-end data engineering pipeline using TCP/IP Socket, Apache Spark, OpenAI LLM, Kafka. It covers each stage from data acquisition, processing, sentiment analysis with ChatGPT, production to kafka topic.
retail-rag
Retail-RAG: A Python-based Retrieval-Augmented Generation (RAG) system for business insights using OpenAI GPT and FAISS. Ingests retail data, generates embeddings, and enables semantic search for financial, customer, and operational insights. Scalable API layer for real-time data-driven decision-making.
web-scraper
a simple web scraper in Python
Hackathons
compiled list of hackathons happening in 2024-2025.
siddharth-nandagopal's Repositories
siddharth-nandagopal/billionaires-rag-query
Billionaires RAG Query uses LLMs and a RAG framework to analyze the world's billionaires list. Extracts tabular data from PDFs, converts to multiple formats, and enables precise queries about net worth, age, and more. Integrates with Poetry and asdf for easy setup and management.
siddharth-nandagopal/kafka-broker-eda-app
siddharth-nandagopal/kafka-kraft-cluster
siddharth-nandagopal/real-time-fraud-detection
detect potentially fraudulent transactions in real-time by analyzing payment transactions as they occur.
siddharth-nandagopal/realtime-sentiment-stream
This project serves as a comprehensive guide to building an end-to-end data engineering pipeline using TCP/IP Socket, Apache Spark, OpenAI LLM, Kafka. It covers each stage from data acquisition, processing, sentiment analysis with ChatGPT, production to kafka topic.
siddharth-nandagopal/retail-rag
Retail-RAG: A Python-based Retrieval-Augmented Generation (RAG) system for business insights using OpenAI GPT and FAISS. Ingests retail data, generates embeddings, and enables semantic search for financial, customer, and operational insights. Scalable API layer for real-time data-driven decision-making.
siddharth-nandagopal/web-scraper
a simple web scraper in Python