Ishita Gupta (ishita48)

ishita48

Geek Repo

Company:Purdue University

Location:United States

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Ishita Gupta's repositories

Breast-Cancer-Diagnosis-ML-model

This breast cancer diagnosis project evaluates various machine learning models to effectively classify breast masses as benign or malignant. SVM and Logistic Regression excel in identifying positive cases, leveraging their robust performance metrics, while Neural Networks show promising results and offer opportunities for further enhancement!

Language:Jupyter NotebookLicense:MITStargazers:2Issues:1Issues:0

Health_Track_App

The Health Tracker App redefines wellness tracking through cutting-edge technology. Powered by Streamlit, Firebase, and the Nutritionix API, it provides seamless user experiences and in-depth health insights. Users can effortlessly monitor food intake, exercise, and sleep patterns, and create their own secured personalized profiles. Track wellness!

Language:PythonLicense:MITStargazers:2Issues:2Issues:0

Muscle-Mate

Ditch generic routines! Muscle-Mate Gym Explorer personalizes your workouts based on goals and preferences. Built with React and Tailwind CSS, this web app offers a user-friendly interface for targeting specific muscle groups and setting clear fitness objectives. With detailed exercise descriptions ensure PEAK fitness and healthier lifestyle today!

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Nasa-React-App

The NASA APOD Explorer is a web application designed to bring the captivating beauty of the cosmos to your fingertips. Powered by React and leveraging the NASA Astronomy Picture of the Day (APOD) API, this app provides users with a daily dose of stunning space imagery along with insightful descriptions. Delve into the universe anytime, anywhere!

Language:JavaScriptLicense:MITStargazers:2Issues:0Issues:0

Stock_Prediction_Web_App_ML

Predict future stock prices with this Streamlit web app. Choose a company, set the forecast period, and visualize historical data and forecasted trends. Powered by machine learning with the Prophet library. Try it now!

Language:PythonLicense:MITStargazers:2Issues:2Issues:0

TicTacToe

Tic Tac Toe Game offers a modern twist on the classic game, combining sleek animations and customizable themes for an engaging experience. Built with React, it ensures smooth gameplay across devices, inviting players to challenge their friends. Continuous innovation promises new features and challenges, making it the go-to choice for having fun!

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FocusFlow

FocusFlow is a sleek Pomodoro timer app powered by React, designed to boost your productivity. Enjoy customizable timers, intuitive task management, real-time progress tracking, and stunning CSS animations. Transform your productivity with FocusFlow today!

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ishita48

Hey there, wanna know more about me and what I am upto? Well this is the perfect place:)

JARVAIS-AI

The Jarvis Project is your personal virtual assistant, offering voice and text interaction for streamlined tasks and entertainment. With features like speech recognition, text-to-speech, and API integration, Jarvis simplifies your life and keeps you informed. Powered by OpenAI's GPT-3, it provides personalized responses for a seamless experience.

Language:PythonLicense:MITStargazers:1Issues:1Issues:0

Machine-Learning_Model_Predicting_California_Housing_Prices

This project employs machine learning to forecast housing prices in California. By scrutinizing location, housing details, and demographics, it constructs various regression models like Linear Regression, KNN, Random Forest, Gradient Boosting, and Neural Networks. These models offer invaluable insights to optimize predictive real estate investment

Language:Jupyter NotebookLicense:MITStargazers:1Issues:1Issues:0

developer-portfolio

Software Developer Portfolio Website built with next.js and tailwind CSS that helps you showcase your work and skills as a software developer.

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free-scribe

React web based transcription & translation app that uses web workers to run ML models in the browser

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Loan-Approval-Prediction-Model

The Loan Approval Prediction Machine Learning Project aims to develop accurate models to predict loan approval status using a dataset from Analytics Vidhya. We preprocess the data and evaluate several machine learning algorithms, including Logistic Regression, Random Forest, K-Nearest Neighbors, Gradient Boosting, SVM, and Neural Networks.

Language:Jupyter NotebookLicense:Apache-2.0Stargazers:0Issues:0Issues:0

multiple-disease-prediction-streamlit-app

This repository contains the codebase for "Multiple Disease Prediction Streamlit App". The training notebooks & the datasets are also provided in the respective folders.

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Python-Algorithms

All Algorithms implemented in Python

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