Jeevesh Mahajan
Jeevesh28
MSCS UW Madison • Ex-Oracle • IIT Kharagpur ’23
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Facility Location Problem solved using GurobiPy. Uncapacitated Facility Location Problem (UFLP) with and without Disruptions. Capacitated Facility Location Problem (CFLP).
Knee bend exercise detector that counts the successful rep count only if the user bends the knee for more than 8 seconds by using Mediapipe and OpenCV . The condition for the knee to be in a bent stage is that the angle between the hip, knee, and ankle should be smaller than 140 degree.
Simulation of a Wiper Mechanism using javascript. A user-friendly UI is made for the user to play-around with the mechanism with motion analysis.
Football player analytics with optimization model to create the best possible fantasy football team, through a maximization with constraints problem.
Multi-class classification problem to predict how much should one bid on a song based on its popularity and maximise the revenue earned
Models for the outbreak of infectious disease (Covid-19) into a susceptible population (Colleges) using standard epidemiological models (SIR, SEIR, SEIR with Control)
Repositories
12Transform sensitive records into mathematically private synthetic clones
Facility Location Problem solved using GurobiPy. Uncapacitated Facility Location Problem (UFLP) with and without Disruptions. Capacitated Facility Location Problem (CFLP).
Simulation of a Wiper Mechanism using javascript. A user-friendly UI is made for the user to play-around with the mechanism with motion analysis.
Football player analytics with optimization model to create the best possible fantasy football team, through a maximization with constraints problem.
Knee bend exercise detector that counts the successful rep count only if the user bends the knee for more than 8 seconds by using Mediapipe and OpenCV . The condition for the knee to be in a bent stage is that the angle between the hip, knee, and ankle should be smaller than 140 degree.
Models for the outbreak of infectious disease (Covid-19) into a susceptible population (Colleges) using standard epidemiological models (SIR, SEIR, SEIR with Control)
No description provided.
A sudoku solver working in real time using Python, OpenCV and Neural Networks
This project focuses on sentiment analysis. Social Sentiment analysis is the use of natural language processing (NLP) to analyze social conversations online and determine deeper context as they apply to a topic, brand or theme.
Competition conducted by American Express to Predict Credit Card Defaulters by building Machine Learning Models for the given data. Used PyCaret low-code machine learning library.
Multi-class classification problem to predict how much should one bid on a song based on its popularity and maximise the revenue earned
The task is to improve forecasting using advanced time series and machine learning algorithms.