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COP Sustainability Tracker enables accurate and extensive measure of sustainability by providing a comprehensive and transparent assessment of ConicoPhillips' eco-minded initiatives.
Our web-app automates nurse charting, saving time with data entry automation and analytics. Enhancing clinical decisions with patient insights.
Optimise learning by determining the perfect time to next revise a given subject based on the principle of spaced repitition. We prioritise maintaining a good understanding throughout.
Using MATLAB, we implemented a model of a town to determine the best strategy for a small food-service business.
At Dakota, we've revolutionized language learning with our AI voice assistant. Say goodbye to social anxiety and hello to personalized language practice, providing a seamless journey to fluency.
Optimizing MSU CATA bus routes based on end user demand
Stuck on what to make for lunch or dinner? Just type the ingredients you have and find a recipe that you can easily make!
Unveiling Insights, Transforming Data: Bridging Innovation at Datathon 2024
Using Exploratory Data Analysis Techniques, we select the most relevant features of the dataset and use it as a basis to train our predictive model.
HireHack is a tool designed to enhance anyone's presentation and communication skills in real time.
An autonomous vehicle that completes different challenges with seamless switching for different behavioural modes. Communicates and saves vehicle startup time to a cloud database.
BullishBearish: Real-time news, personalized insights on market sentiment for your chosen stocks. Empower your financial decisions with us!
Empowering Oil Futures: Precision Peak Rate Prediction for Informed Well Development
This Power BI dashboard examines the characteristics of food aid applications for 2021-2022. These trends encompass various aspects, such as education, sources of income and household situation.
Be an Eco Hero! Our web app reveals your nature-saving superpowers with fun & friendship. Join the green adventure & protect Earth!
We knew nothing about Python and data science before this competition, and Datathon provide us with an opportunity to learn so much! Thank you to all the organizers and the mentors in Rice Datathon.
In the prototyping phase, we added in the computation of fees earned by liquidity providers. Subsequently, we attempt to hedge the impermanent loss and backtest our strategy with some historical data.
Upload your store information, select the food you want to find, compare that food price between multiple stores, finds the nearest store with the best price.
Have you ever been confronted with an unknown liquid? Perhaps you made an attempt to determine its nature using your senses and were surprised by a foul odor or taste? Well, fear no more!
Minimising impermanent loss for liquidity providers in Uniswap v3
Verify that data being uploaded to Openmesh’s network matches the source
Just look
Saturn V: The Power of a Rocket Reaching Towards the Future
Harvesting the Breeze, Crafting Tomorrrow: Innovations in Wind Turbine Design and Sustainable Energy Solutions
