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Home purchase advice.
An application which uses time series forecasting and sentiment analysis from news/media articles to better inform users and the public about general financial trends and company performance.
We created a simulation of the activation of the brain based on sensory inputs
home-A-loan
Help the President of Successville save money and earn Stars which can be exchanged for funky accessories. Share Mr Piggy with your friends on Snapchat for a limited edition dancing Mr Piggy filter.
Want to be able to detect melanoma from the comfort of your own home? Then use MelaScan!
We're on a mission to address two key community challenges: donor scarcity and inefficient food distribution. Find out more about our targeted donor campaign with our unique matching algorithm!
Theory Meets Practical Mastery with Data.
Approaching Search & Rescue with edge computing
Earth, our precious home.Hackers learning Atari.Nature is healing.
Ensure Safety & Analyse Safety bethorehand!
Our project is a machine learning model that takes in a CSV file on college students and predicts who would and would not seek help based on the information provided.
Contributing data and science to raise awareness towards endangered animals.
Explore the lifecycle of stars in 3D
Breaking barriers with Sign Seeker, translating sign language into text and speech for seamless communication between Deaf and hearing communities.
Connecting through Signs, Empowering through Education.
R3scue and r3pair failed prints
Predicts high and low temperatures (°F) and precipitation (inches) for future dates in San Jose, CA.
All of our first datathon, we did it in intermediate. We used data science libraries like numpy, and matplotlib to make data vizualization
We are an advanced fitness app that intakes health biometrics and fitness goals and outputs dietary recommendations.
This project helps native farmers to classify medicinal plants and prevent ayurvedic medicines from adulteration.
Fine tuning an LLM for synthetic data generation inputted within subsequent LLMs for specific use cases: Anonymous Medical Data Abstraction, Financial Fraud Detection, and Product Attribute Extraction
Unraveling the confidence of patient survival.
We analyzed the data of school districts with different models to try to understand the correlation between different factors of the school district on mortgage factors, poverty, and etc.
