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Play a two-player virtual cricket match using real-time hand gestures captured through webcams. Includes toss, batting, bowling, runs, outs, and automatic winner declaration — all powered by a trained ML model and parallel camera processing.
It is a project build using ETL(Extract, Transform, Load) pipeline using Spotify API on AWS into snowflake datawarehouse. It utilizes AWS services such as Lambda, S3, and CloudWatch to orchestrate the process. The transformed data is then loaded into Snowflake using Snowpipe, and finally visualized in Power BI.
It is a project build using ETL(Extract, Transform, Load) pipeline using Spotify API on AWS.
java programming files and notes
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This project implements a relational Library Management System using MySQL. It demonstrates database design, schema normalization, foreign key relationships, and advanced SQL querying for real-world library operations.
End-to-end e-commerce data platform built on Microsoft Azure using Databricks Medallion Architecture.
An AI-powered mentor chatbot built with Streamlit, LangChain, and Hugging Face LLMs that delivers strict, domain-specific guidance. It enforces hard module boundaries and adapts responses based on configurable industry experience.
AI-powered resume analyzer using LangChain & Gemini to extract structured candidate data from bulk resumes and export it as CSV for efficient screening.
Play a two-player virtual cricket match using real-time hand gestures captured through webcams. Includes toss, batting, bowling, runs, outs, and automatic winner declaration — all powered by a trained ML model and parallel camera processing.
This end-to-end AI project converts resumes (PDF/DOCX) into a personalized portfolio website. It uses Streamlit, Python, LangChain, and the Gemini API. Automates parsing, data extraction, and front-end code generation (HTML/CSS/JS) into a ZIP file.
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This project demonstrates a fully automated ETL pipeline built on AWS Cloud to extract playlist data from the Spotify API, transform it using AWS Glue (Apache Spark), and load it into Snowflake for analytics and visualization via Power BI.
No description provided.
It is a project build using ETL(Extract, Transform, Load) pipeline using Spotify API on AWS into snowflake datawarehouse. It utilizes AWS services such as Lambda, S3, and CloudWatch to orchestrate the process. The transformed data is then loaded into Snowflake using Snowpipe, and finally visualized in Power BI.
It is a project build using ETL(Extract, Transform, Load) pipeline using Spotify API on AWS.
java programming files and notes
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Diabetes Prediction Model
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Handwritten Image Recognition using ANN
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Pretrained CNN which is trained on Imagenet is used
No description provided.
It is a computer vision project for object tracking and detection