Solar power generation forecasts will be a critical need if SOs are to balance NEOM's grid. We built an ML model to forecast solar power generation that takes into account NEOM's weather patterns.
PyTorch Cancer Prediction from Histopathology Slides
better to check the level before crossing it.
To classify various food images using cameras
AI financial assistant to help you spend wisely and save effortlessly
Tired of planning your classes out? The Aggie Assist application is the solution to your schedule planning problems, offering ideal schedules based on your preferences.
Tackling privacy issues by creating a Digital Union and integrating Machine Learning technologies in Keybase in order to help meet the ends of the union and fight for privacy.
StockDock is an educational tool for novice investors to tackle a volatile stock market while analyzing data points such as sentiment, price shifts, etc.
Have you ever walked down a street, see a cute dog pass by you, and extremely curious to know its breed? Just take a picture of it, and let What's That Doggo identify exactly what breed the dog is!
A deep neural network that predicts mortality risk for drug overdose incidents.
MAXX (Monitored Analysis for Extreme Expressions) is an automated web-scraper which analyzes social media profiles for extreme mindsets like mental illness or risk of harming one’s self and/or others.
5 years of GIR forecasting data is used to visualize 100 securities, analyze GS attributes against earnings call sentiment analysis, and k-means cluster securities post-dimensionality reduction.
Movies genres fail to reflect the diversity within them. By using movie scripts, we can create subgenres without human annotation, allowing for compoundable improvements to recommendation systems.
Sends a text with the real-time weather and suggests what to wear!
Streamlined Safe Bike Routes
Feeling supportive is the key to older people. My project help geriatric patients to cure their loneliness in today's busy world.
i have trained a NN model (RNN, LSTM) for classifie texts into help needed/question or just a text neutral text
Adquisitions. Custom Tailored
We've trained multiple Machine Learning models to predict the sales quantity for each point of sale that can be queried to our API. In particular, the ones for the three months following training data
Using neural networks to predict future sales parting from a sales history
modelo predictivo basado en random forest regresion
Foster quality financial advisory by matching those who want to those who most know.
An AI-Powered Money Management/Expenses app
Predicting stock values using machine learning