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RouteSafer aims to reduce the amount of traffic accidents by suggesting safer routes to drivers calculated using advanced machine learning algorithms, trained on over 20 years of past data.
Predicting The Total Incurred Loss Per Client
The goal of our project is to intelligently classify if a tumour is malignant or not using various ML algorithms, such that doctors and health professionals can understand and use our code with ease
Enabling the personalization of Venclexta treatment towards increased quality of life.
Non-datascientists users can now train machine learning models by simply asking their robot to do it for them
The system develops a proprietary data pipeline to provide investors well-informed calculations of long-term dividend payout of S&P500 firms, with ML algorithms training on historical financial data.
Handwritten clinical records for Optical Character Recognition
Identify manually for testing purposes -> Develop NLP tools -> Data augmentation -> Key words & topics identification -> ML approach for data classification and interpretation.
Optical Character Recognition for Digitizing Health Records
An AI solution to help car manufacturers predict and reduce their cars' carbon footprint.
Companies who want to be persuaded to become more sustainable will enter the percent of energy usage they wish to achieve, and will see how their costs will increase or decrease.
The app does not work yet, as it is a work in progress.
Using a novel nested deep-learning neural network with multivariate polynomial regression models, we can predict the population of Southeast Asian countries based on relational data.
A Chemical Pathway Discovery Tool
A text generation tool using word vectors and traditional machine learning
Medical assitance in the cloud
A Twitter filter that eliminates spam messages in the snap of a finger.
GlassBox at MIT PolicyHackathon April-2019. Bringing transparency and auditability to recidivism risk-assessment and parole/pre-trial decision-making process.
Personalized clothing recommendation based on customer profile
We used K-means clustering to determine the highest congested areas for B-Cycle, and suggested locations to place new kiosks based on this knowledge.
Introducing BCycle into Beijing City! Where should we put the BCycle kiosk? How BCycle will save commuters' time consumption? What are expected Memberships? Check out in this project.
Predicts how popular a new Bcycle kiosk would be
An on-demand streaming service with premium originals and licensed content focussed on MENA & South Asia. The atom of the project is simple, make local content easy, affordable and accessible.
Protein domain recognition via Machine Learning to better understand underlying causes of disease
