BrainStorm Quiz is a web-based quiz application designed to challenge players' general knowledge across various topics. Built using React, Typescript, and Material UI, the application fetches 10 quiz questions from an API, offering a wide array of trivia for players to tackle.

This project analyzes and visualizes the performance metrics of Barbie and Oppenheimer movies using graphs created with the Tremor data visualization library in React.js. The visualization compares key metrics including box office revenue, viewership numbers, and overall popularity between the two films.

The Clinical-AI-trial project is a web application that extracts and processes clinical data from both URLs and uploaded documents (PDF, TXT). It uses OpenAI's API to analyze the extracted content and identify key medical information (like patient details, diagnoses, procedures). The processed data can then be exported to Excel files for analysis.

The problem we aim to address with this project is to create a ML model for the early detection of heart disease using machine learning techniques. This is a widespread health issue affecting a significant portion of the population globally. It is vital to understand the demographics affected, leading causes, diagnostic methods, and treatments.

This project is basically a Text-to-Speech converter using python.Here i have used many libraries like tkinter,gTTs,playsound.

Deploying the application using codedeploy and pipeline automatically after the code is pushed in gitbhub

This project automates data extraction for the Fatal Encounters database. It provides a user interface built in React.js and Typescript for uploading documents or inputting browser URLs, which are parsed using Axios. The parsed data is passed to the GPT-4 mini API to extract specific details through Node.js backend API.