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VARSHITHA.N's Projects

av-2 icon av-2

This is a full-stack application used for visualizing different types of Algorithms

fitlifepro icon fitlifepro

FitLifePro is an expert system created by a group of AI students from University of Malaya as a group project for WID2001 (Knowledge Representation and Reasoning) course. This expert system is created using Python and Streamlit. The purpose of this expert system is to provide some general knowledge about fitness, health, sports and injury to users.

float-label-css icon float-label-css

Bulletproof CSS-only implementation of Float Label pattern with automatic fallback for ANY non-supporting browser.

mindful-predictions icon mindful-predictions

A Flask web app deployed and uses built Regression model to predict an individual's likelihood to seek mental healthcare treatament.

ml icon ml

# olympics-data-analysis-web-app A Streamlit web application for the analysis of olympics dataset

music-store-data-analysis icon music-store-data-analysis

Music Store Data Analysis is end-to-end SQL project that will helped me to learn, understand and advance my analytical skills .

stock-price-prediction icon stock-price-prediction

The Stock Price Prediction App is a Streamlit-based web application that provides users with tools to analyze historical stock price data, visualize technical indicators, and make short-term price predictions using different machine learning models.

stockstream icon stockstream

StockStream is a web application developed using Streamlit, designed to provide users with real-time stock price data, stock price prediction, and stock price analysis. This repository contains the source code and related files for the StockStream web app. Explore the code and unleash the potential of StockStream for your financial analysis needs.

traffic_tamer icon traffic_tamer

Project to identify and analyse real world roads and streets which can help control and improve the overall traffic conditions.

zomato-recommendation-model icon zomato-recommendation-model

A Zomato recommendation model was created through data scraping, with subsequent logic development. The model utilizes the Streamlit library to create a web page and is deployed live by connecting it to GitHub. This tool caters to entrepreneurs and travelers seeking restaurant recommendations.

zrs icon zrs

A recommendation system built using zomato bangalore dataset.

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