Python script for building a Tour de France winners list
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Updated
Mar 6, 2017 - Python
Python script for building a Tour de France winners list
My team project made on EDC Industrial IoT Hackathon 2017. The challenge was to create a server app and prepare electronics on RPi for receive analog signals from another RPi (prepared as drone simulator) and create app for data visualisation from this "mock" drone.
Child Computer Activity Monitor for Klein Hacks competition (CCAM)
Winning project for the same: Augmenting infrastructure assessment predictions through CNN’s and Semi-Supervised Learning
Pick a Winner from List (GUI)
To monitor and control the IV flow in healthcare facilities with a mobile application and avoid the back-flow of blood into the fusion pipe, which leads to death.
Repository for COL780 Computer Vision Assignments. Instructor Prof. Chetan Arora
This project is built for AMIHacks-2021 under the theme AR/VR
Mobile application created during 5. Best Hacking League Hackathon in Software Category.
CoFind - The application which we have built and are still improving will most definitely impact a lot ofpeople - people in need.
Premier League Winners History analysis.
The most convenient fact-checking tool to help fight against disinformation.🏆 Winning project for the 1991 Hackathon: Media 🏆 The project pitch 👉 https://youtu.be/W3Yndb0Ba0M?t=6207
Open Sourced Quiz Portal which can be used for any event / competition with a custom leaderboard.
Using Unity, my team and I (@Olobol) developed this game that won us the #Everygamercounts Game Jam.
In our data-driven project, we unlock BattleBots tournament predictions through machine learning and historical data analysis. By evaluating their match performance, we craft an accurate model to anticipate competition outcomes. Connect with us to discover how we're enriching fans' experiences by empowering them to foresee tournament winners.
Top 100 in rakathon 2022. AgriBlock is an NFT application Based on Ethereum Blockchain written in Solidity Smart Contract, and using the power of React Frontend, and ether.js to interact with the Smart Contract present in the Ethereum Blockchain.
This project analyses a Nobel Prize dataset using Python and data analysis libraries. It explores the distribution of winners by category and country, examines the proportion of female winners over time, investigates the age of winners when they received the prize and identifies the oldest and youngest recipients.
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