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
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
Crowdsourced Personal Travel Itinerary Creator
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 .
disease diagnosis using ML: 3rd place at Hackcoming 2 🏆
This is a machine learning project to detect whether a note is real or fake [Accuracy : 99% | No Overfitting].
🏥 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.
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.
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