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Tushar Singh's Projects

basic_online_library icon basic_online_library

This is a CLI based Online Library which uses basic concepts of JAVA mainly Object Oriented Methodology(OOM) to perform various basic functions of a library

cses_solutions icon cses_solutions

This repo contains the solutions to the problems of cses that I have solved till now

elective_subject_allotment_system icon elective_subject_allotment_system

This is a CLI based project implemented using all concepts of OOPS to create a system for Allotment of Elective to Students of Semester 1 and Semester 2 based on their various factors such as CGPA , their Preference of electives(ANY THREE) and previous allotment of the same in the past semester.

elevator-system icon elevator-system

This is a basic CLI based project in JAVA to demonstrate the basic characteristics of a Elevator System and its working .The project simulates without GUI ,using only terminal of your IDE , the functions of Elevator between Floor1 and Floor2 , and how the lift select the priority of its caller.

iris-flower-classifier icon iris-flower-classifier

This is a basic ML model which classifies the Iris flowers among three species (Setosa, Versicolor, or Virginica) from sepals' and petals' lengths and widths measurements.

java_oops icon java_oops

Contains program relating to object oriented programming in java

multimodalrouting icon multimodalrouting

Developed android application for finding the shortest route between two points using hybrid modes i.e. bus and metro. Used algorithms like Dijkstra, Bidirectional Dijkstra and A* (A - star)

online-crime-reporting-and-management-system- icon online-crime-reporting-and-management-system-

PHP Training Project: It is a website where user can log an FIR online. This website has 4 module- Head-quarter, Incharge, Police, User. It is multifunctional website with back end support Project Objective: • To provide an online platform where user can log a FIR at ease. • Complainant can see the regular update of the filed case. • H

uci-real-estate-price-predictor icon uci-real-estate-price-predictor

This model uses supervised learning and and uses the housing data provided by the UC Irvine Machine Learning Repository, to train on and predict the best possible price of the real estate .The model uses three type of regressors namely : Linear , Decision Type , and Random Forest (optimal).The project explores the basic concepts of Machine Learning

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