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An AI model to predict water level of reservoir given the date.
Drug-drug side-effects are rarely tested directly in the pharmaceutical development process. Our system can generate in silico indications of drug-drug interactions using graph machine learning.
Introducing you to ManageMIND! Designed to help you efficiently manage your time to ensure that you get the most out of your day by helping you plan out how stressful the intended day is likely to be!
An application that can help patients to know the disease and take precautions accordingly based on his/her symptoms and also connect virtually with doctors.
A data analysis, visualization, and machine learning project focused around mental health in the tech industry and mental healthcare.
Human in the loop content moderation as a service. Add to your app with less than 1 line of code.
The objective is to classify Malicious (Type=1) websites from Benign (Type=0) ones on the basis of various features given in the dataset. Target variable: "TYPE". I have used SMOTE and CatBoost
Scout- a chrome extension informing users of any data breaches on websites they browse.
A handy application for Recruiting Team to automate their hiring process.
Find your match with our unconventional dating app that prioritizes in-person connections, values accessibility, and optimizes bias-free matching based on machine learning algorithms.
Based on a region, this project aims to create a visualized map to represent which areas are considered 'hot spots', so ride share drivers know which areas to pick up the most rides at.
Heart Rate Variability has been studied and explorations has been done to find its potential to predict various health conditions. Our projects uses machine learning to help make predictions.
Content based movie Recommender system using Machine learning
A solution that aims to provide an ML-based approach to increase the security of a system against malicious software like keyloggers, ransomware, & viruses by detecting them before any damage happens.
Detects accounts that spread misinformation, are bots, and gives a sentiment rating, based on an account's tweets, using statistical analysis (Benford's Law) and Machine Learning.
RescueLine uses machine learning to classify emergency calls according to the nature of assistance required to dispatch the appropriate response team (fire,medic,search/rescue) and save lives.
Predict the occurrence of wildfires based on remote sensing data from MODIS (Moderate Resolution Imaging Spectroradiometer), an instrument carried on board the NASA's Terra platform.
Eat Smarter
Find your perfect playlist!
We are predicting the interest rate on mortgages. Created by Ben Allen, Adam Swartz, Yuv Sachdeva, and Lauren Yu
Building a logistic regression model and improving upon it while producing graphs and charts to investigate broader trends in Houston mortgage approval data
In this project, we use two different classification models to attempt to predict whether or not a loan application will get accepted based on demographic and loan-related variables.
