Projects

The DevTo AI Agent leverages the power of Agent-to-Agent (A2A) communication and Model Context Protocol (MCP) to automate and streamline interactions with the Dev.to platform. It enables tasks like article creation, user profile management, comment handling, and follower analysis.

Linear Regression MCP demonstrates a complete machine learning workflow using Claude and the Model Context Protocol. Upload a CSV dataset, and Claude will train, preprocess, and evaluate a linear regression model (RMSE).

Streamline your business operations with our inventory management system. Stay organized by easily managing product categories, tracking item availability, and monitoring sales in real-time for optimal stock control and informed decision-making.

A MCP (Model Context Protocol) server developed for the Unstructured MCP Virtual Hackathon. The server utilizes the Unstructured API to extract structured data from research paper PDFs, enabling improved workflows for researchers and AI applications.

This Python tool analyzes server log files to provide key insights, including IP address activity, top accessed endpoints, and detection of suspicious login attempts. Analysis results are conveniently displayed in the terminal and saved to an Excel report.

This project implemented an end-to-end pipeline for web data extraction and insight generation. Selenium was employed to gather data from multiple websites, followed by the application of NLP techniques for cleaning, preprocessing, and ultimately extracting the necessary insights presented as the final output.