Recognition of Persomnality Types from Facebook status using Machine Learning
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Updated
Jul 16, 2021 - JavaScript
Recognition of Persomnality Types from Facebook status using Machine Learning
A method to predict activating, deactivating and resistance mutations in kinases
🏥 A model which gives the rate of change of emotions by classifying the emotions. This can be used to diagnose brain related diseases such as Bipolar disorder.
An Employee Attrition detection web application, that predicts if an employee is going to leave an organization in near future.
An end-to-end application for crime rate detection and crime type classification
Floodplain Area Classifier Using Optical and Radar Imagery
AquaScribe is a smart water management system that leverages IoT sensors, ML Algorithms and automation to optimize irrigation processes in real-time
This is a machine learning project to detect whether a note is real or fake [Accuracy : 99% | No Overfitting].
Disease diagnosis using ML; 3rd place at Hackcoming 2 🏆
Main branch is older version from a sole partner .
NutriNavigator is not just a nutritional recommendation system; it's also an e-commerce platform offering organic food products. Now working to dockerize it then host on azure or aws .
Um site de reconhecimento de dígitos de 0 a 9, onde é possível desenhar manualmente o número e o algoritmo de IA irá reconhecê-lo.
Crowdsourced Personal Travel Itinerary Creator
RetainX is a full-stack web application designed to predict customer churn using a trained machine learning model. The application allows users to input customer information through a frontend form and returns a prediction on whether the customer is likely to churn, along with a probability score.
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