No description available

Comprehensive data analysis of the Global Superstore dataset using Python, Pandas, and Plotly, with assistance from generative AI for streamlined workflow, code debugging, and insights generation. Explores sales trends, profitability, and operational costs through interactive visualizations.

A collection of healthcare data analysis projects, EHR optimization workflows, and AI-augmented analytics dashboards

An enterprise-level AI customer support system using Transformer-based Intent Classification, Sentiment Analysis, Retrieval-Augmented Generation (RAG), ChromaDB vector search, and Streamlit interactive analytics dashboard.

A full-stack AI-powered personal knowledge system with: RAG (Retrieval Augmented Generation) Semantic search Vector DB Role-based authentication Document ingestion AI Q&A Dashboard analytics Background processing Dockerized microservices

SynkBoard is a real-time, AI-augmented collaboration dashboard where authenticated users can create workspaces, share notes, chat, and visualize live analytics — all in sync across multiple clients.

Production-ready Retrieval-Augmented Generation (RAG) AI assistant for Gospel Pillars Church with dynamic location management, analytics dashboard, prayer request capture, and secure admin panel. Built with Streamlit, FAISS, and OpenAI.

A conversational AI system that combines Large Language Models (LLMs) with Retrieval-Augmented Generation (RAG) to deliver accurate, grounded responses. Includes comprehensive conversation analytics and performance monitoring through Power BI dashboards.

AI-Augmented Business Insights Platform (ABIP) — An intelligent analytics system that lets users upload business datasets and automatically generates data profiling, KPIs, interactive dashboards, machine-learning predictions (churn + forecasting), and natural-language insights via an AI assistant.

CogniPlan: An AI-augmented productivity dashboard featuring a dynamic habit matrix, progress analytics, and a RAG-powered Co-Pilot. Built with FastAPI, Supabase, and Pinecone for intelligent, agentic task management and goal tracking.

Enterprise-grade AI-augmented Data Quality Fabric platform. Features automated data profiling, AI-powered cleaning operations, real-time quality monitoring, PII masking, and intelligent rule generation. Comprehensive dashboards with quality badges, trend analytics, and GPT-4 copilot for data stewards and engineers.

EnvrSciOps is an AI‑augmented environmental data platform that ingests public environmental APIs on a schedule, stores them in a relational database, applies SQL transformations + validations, and publishes an analytics layer for dashboards—with an AI toolkit that accelerates documentation, SQL review, and pipeline debugging.

enterprise-grade AI customer support chatbot using Retrieval-Augmented Generation (RAG) that answers queries from company documents, auto-creates support tickets, and provides analytics dashboards. Designed scalable APIs with FastAPI, vector search using FAISS, and deployed on cloud infrastructure.

Decionyx is a production-grade AI Decision Operating System designed to move beyond traditional analytics and dashboards. It combines multi-agent intelligence, retrieval-augmented generation (RAG), predictive simulation, and human-in-the-loop governance to deliver reliable, explainable, and actionable decisions in real time. Unlike typical AI too

Decionyx is a production-grade AI Decision Operating System designed to move beyond traditional analytics and dashboards. It combines multi-agent intelligence, retrieval-augmented generation (RAG), predictive simulation, and human-in-the-loop governance to deliver reliable, explainable, and actionable decisions in real time. Unlike typical AI too

A modern AI-powered web app combining Retrieval-Augmented Generation (RAG) with predictive analytics. Features include document upload, semantic search, interactive chat, and real-time prediction dashboards. Built with React, TypeScript, Tailwind CSS, and Hugging Face Transformers for intelligent document understanding and insight generation.

Agricultural Intelligence Dashboard is an AI-powered Streamlit app that lets you explore corn yield data using natural language questions. It combines Cohere LLMs, Pinecone vector search, and interactive PyDeck maps to deliver contextual answers, real-time analytics, and geospatial visualizations backed by retrieval-augmented generation (RAG).

An AI-driven system that processes hotel booking data, generates insightful analytics (revenue trends, cancellation rates, geographical distributions), and enables interactive Q&A using Retrieval-Augmented Generation (RAG) with an open-source LLM. It includes a REST API built with FastAPI and a Streamlit dashboard for visualization and exploration.

A multi-modal AI adoption assistant leveraging Retrieval-Augmented Generation (RAG) by combining OpenAI GPT-3.5 and MongoDB Atlas Vector Search for semantic pet matching. Features secure JWT/OAuth authentication, shelter and user management, real-time analytics dashboards, Reddit-style nested comments, Stripe for payments and Nodemailer for email