GUI Clustering on Walmart's Mall-Customers Dataset

A real-time virtual try-on app using Streamlit, OpenCV, and MediaPipe — try Walmart glasses and hats live by uploading the images of your own!

Wally is a personalized AI shopping assistant crafted exclusively for Walmart users. It monitors past shopping activity and reminds users to restock frequently bought items—making everyday shopping smoother, smarter, and stress-free. Powered by a local LLM (Ollama) and built with a simple Streamlit interface

Interactive Walmart Sales Data Visualization and Reporting Tool with Streamlit LLM chat

Scrapy + Playwright Walmart Price & Stock Tracker with Streamlit Dashboard | PostgreSQL storage, Alerts & Automation

Retail KPI anomaly detection + hierarchical root cause analysis (STL + robust MAD scoring) with a Streamlit dashboard, built on the M5 Walmart sales dataset.

Walmart Sales Analysis & Forecasting Dashboard 📊 A Streamlit web app for exploring, forecasting, and detecting anomalies in Walmart weekly sales data. Built with Python, Facebook Prophet, and interactive data visualizations to help retail analysts and business users gain actionable insights.

“Prototype of a Walmart-style LLM copilot (Ask Sam/Wally inspired) — RAG pipeline with LLaMA, vector embeddings, and Streamlit for associate productivity and knowledge access.”

Walmart Location ML – Machine learning pipeline to predict optimal new Walmart store locations using demographic, economic, and competitor data. Includes data preprocessing, feature engineering, multiple model training (XGBoost, Random Forest, MLP), and an interactive Streamlit dashboard for visualizing predictions and competitor analysis.

Full-stack e-commerce AI project for customer analytics & product recommendations on Amazon, Walmart, and Etsy. Includes scraping, NLP, segmentation, hybrid ML models, and a Streamlit dashboard. Documented daily on GitHub, Kaggle & LinkedIn.

This project demonstrates prediction of Trends from Walmart Sales. We analyzed the dataset, fixed it where necessary, visualized it for storytelling and trained a model and exposed model through API using FastAPI and UI using Streamlit for Results

Interactive Streamlit dashboard for Walmart Black Friday analytics using probability, statistical hypothesis testing (T-Tests, ANOVA), CLT simulations, EDA, and market basket analysis. Built with Python, Pandas, NumPy, Plotly & SciPy to uncover customer behavior, segmentation, and retail insights.

A robust, AI-powered dashboard built with Streamlit that combines classical and deep learning models to forecast product demand and optimize inventory. This project helps businesses make data-driven decisions using Walmart's retail sales data, minimizing stockouts and overstock scenarios.

End-to-end AI sales forecasting system using Walmart data. Random Forest model achieving 94.8% accuracy on 11,000+ records with 40+ engineered features. Includes Streamlit web app and Power BI dashboard for real-time predictions and business insights.

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Walmart stores 1962-2006 Dashboard

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This is a dashboard I created for a quick and easy interactive view of 45 Walmart stores sales.

End-to-end Walmart store sales forecasting using time-series modeling and Streamlit deployment.

Walmart Sales Forecasting using XGBoost and Streamlit

Streamlit app for Walmart customer sentiment analysis.

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End-to-end Snowflake + dbt + Streamlit Walmart Sales Analytics Project

Walmart Store Sales Forecasting, using BigQuery + Python + Streamlit

Created a dashboard for walmart sales information using Streamlit