MANSI BREJA'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.
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.
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.
GA_ReliefShelter
A multi-objective mathematical model using the concept of Genetic Algorithm(GA) to solve the location–allocation problem for flood relief shelters.
Flood-Hacked
A web app which provides an optimal solution to distribute food across all the relief shelters in a city, given limited resources including limited number of helicopters, drones, fuel, food supply and most importantly, time. This project was made as a part of HackIIITD, Esya'18. Our team was ranked among the top 10 teams.
Domotic-House
An Indo-Spanish multicultural collaborative project on Home Automation Systems using Arduino
awesome-for-beginners
A list of awesome beginners-friendly projects.
Competitive_Coding_1
This repository contains some useful codes, techniques, algorithms and problem solutions helpful in Competitive Coding.
first-contributions
🚀✨ Help beginners to contribute to open source projects
graduation
$ git remote <graduation> yearbook
hacktoberfest
Participate in Hacktoberfest by contributing to any Open Source project on GitHub! Here is a starter project for first time contributors. #hacktoberfest
Hacktoberfest-2018
A repository for beginners to create their first Pull Request.
hacktoberfest2018
CodeDocs Hacktoberfest 2018 - participants, repositories and score
Hello-World
Say Hello to the World! Introduce yourself! :)
Make-a-Pull-Request
Make a Pull Request
Open-Source-Meetup---Esya-19
Presentation given by Jap Leen Kaur Jolly at the Open Source Meetup at Esya'19
Python--Candidate-Elimination-Algorithm
Problem : For a given set of training data examples stored in a .CSV file, implement and demonstrate the Candidate-Elimination algorithm to output a description of the set of all hypotheses consistent with the training examples.
sangita_data
Data based resources for sangita
thank-you-github
An open letter of gratitude to GitHub