Category: Projects
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Structured Data to Knowledge Graph for Retrieval-Augemented Generation
Building a knowledge graph-powered RAG from structured data. Github repo
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Retrieval-augmented generation powered by a knowledge graph
Automated knowledge graph construction and RAG implementation using OpenAI’s ChatGPT and Neo4j.
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NLP on Steroids
Using Amazon Textract, Amazon Bedrock, and LangChain to Process Documents.
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Build a ChatBot Using Local LLM
Using Ollama, LangChain, and Streamlit, this project aims to demonstrate how a recruiter or HR personnel can benefit from a chatbot that answers questions regarding candidates.
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Elevate your NLP Game with AI
This project aims to demonstrate how we can use the power of LLMs like ChatGPT to perform classic NLP tasks like sentiment analysis.
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Job Description Summarizer Using LangChain and Streamlit
The goal of this project is to create an app that summarizes the technology stack in a job description.
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Multiple Choice QnA Reviewer – ChatGPT, LangChain, RAG
This project aims to create a reviewer for the latest Occupational Therapy Rules published by the Texas Board of Occupational Therapy Examiners.
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Lesson Plan Maker – Powered by ChatGPT Using LangChain
The goal of this project is to creates a “quick and dirty” lesson plan with differentiated worksheets for different student accommodations.
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Hands-on Introduction to Semantic Kernel
The goal of this project is to demonstrate how to use semantic kernel in both the python console and the web browser. Github repo
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Go viral or not?
I used, XGBoost to analyze the Online News Popularity Data and predict the popularity of online news articles. The aim is to construct a model and extract feature importance. The research question is as follows: Can gradient boosting be constructed based solely on the research data?
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Texas Public Schools Effectiveness Study
An exploratory data analysis of financial (PEIMS) and performance data (STAAR). Study with a focus on diversity. I used XGBoost and SHAP to extract feature importance.