Kavita309

Kavita Maurya's repositories

MoodieFoodie

It recommends food based on your mood. Also, it orders the recommendation list of restaurants using machine learning combining the user ratings, distance and cost for two, hence offering the most optimal choice.

Language:Python7 10

CareAndCure

The project provides a menu to the user which primarily provides options to work on the admin’s side and on a user’s side. The menu provides several options to view update and delete records from the tables involved such as DOCTOR, PATIENT, NURSE, RECEPTIONIST ,etc.

Language:Java300

Jhapki

A drowsiness detection web app which helps the driver stays safe by looking out symptoms of drowsiness with the help of OpenCV.

Language:Python3 20

Vyarth

The aim of the project is to provide a better solution to waste management. Instead of dumping waste to another area, this app proposes to transport waste to those who require it for useful purposes. Hence the "bekaar" is delivered to the companies who "sweekar" it.

Language:Python3 2 1

Autoburn

The aim of the project is to provide a one-stop solution to the owner of the car agency, enabling him to maintain all details at one place.

Language:C++2 20

Blog-app

A django application with basic CRUD(Create Read Update Destroy) functionality that allow users to maintain a personal blog.

Language:Python2 10

Fine-Fettle

This app provides an absolutely easy to use and convenient platform that can help in predicting the condition of the user. The app would suggest the user whether he/she should be visiting a doctor or not.

Language:Python200

Competitive_Coding

This repository contains some useful codes, techniques, algorithms and problem solutions helpful in Competitive Coding.

Language:C++000

ExpenseManager

An application to manage all your personal expenditures. Add all your expenses along with the amount spent, the date and time of your spending and other additional description.

Language:Python000

Severity-of-cyberbullying-across-SMPs

A research based project to provide a comparative study of diverse traditional machine learning models and deep learning models using variety of word embeddings which can be used for the purpose of identifying instances of cyberbullying across various social media platforms and classify them on the basis of the level of severity of cyberbullying

Language:Python030