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This is our teams submission for Push Battle
We developed algorithms to select 2,500 sets from 500,000 data points, optimizing training efficiency and accuracy. Visual comparisons using graphs and histograms validated our improved model results.
Easily view business stats with our dashboard!
Ron's Mac Bar: Data-Driven Insights for Peak Sales Performance and Customer Preferences.
Our solution uses an LLMs to understand the connections game model, accurately grouping related words and minimizing errors, making it a quick and smart way to solve the Connections game.
Visshwa
This project is a Streamlit dashboard designed to analyze ingredient popularity and customer ordering trends at Roni's Mac Bar.
Turning data into delicious insights at Roni's Mac Bar. Data-driven insights to optimize customer experience, streamline operations, and boost sales through an intuitive and interactive dashboard.
AI Forms Connections
A project born by understanding of the data science and ML, and a creative mindset towards building an interactive user-interface
This dashboard is designed to provide valuable insights into customer ordering patterns, popular items, ingredient preferences, and customization trends.
Groups words by semantic similarity using GloVe embeddings and cosine similarity, enabling smart guessing with fallback and “one away” handling. Ideal for NLP tasks like clustering and semantic search
Mini to the MAX
Data classification model for a uniform and density-based data set
Cropland area data is invaluable, yet not available for all countries. Using data from the USDA, this segmentation model generates masks that describe the crop landscape given satellite imagery.
AI-driven recommendations for Capital One's Front Office teams
Empowering Precision Agriculture with Automated Cotton Field Detection Using Satellite Data and AI.
An Ai-driven attempt to solve the New York Times game, Connections.
An AI developed to play the New York Times hit game, "Connections", by using a hugging face transformer model to identify similarities in the words to play the game.
Explore movies like never before! An engaging, interactive dashboard showcasing vibrant visualizations from a Kaggle movie dataset.
MCTS Tree based model Pop-Tac-Toe with a torus board
We have built a cotton filed detection system that takes satellite images from google earth, weather information and applies a CNN model to predict if the input image is a cotton field or not.
Prediction of Cotton Crop Area and Acreage using Computer Vision and Deep Learning
We then looked at the rule set and discussed whether it should be like a generation or something like Stockfish. Something like Stockfish would be better after I went to the game and came back.
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