I am Simran Sharma, a passionate technology enthusiast currently working as a Trainee-IT at Shyam Steel, navigating FullStack projects. As a dedicated Microsoft Learn Student Ambassador, I've not only earned the AI-900 certification but also received accolades like the Community Hero and Mentor badges. My journey includes spearheading the Microsoft Student Trainer role, winning at the GCCD'22 Kolkata Hackathon, and being a speaker at the Being Wo-men: IWD Celebration. Beyond tech, my versatile skills extend to social media marketing and Canva design, allowing me to contribute creatively to various projects. The ever-evolving tech landscape fuels my curiosity, and I eagerly anticipate the lessons and opportunities that lie ahead.
simrans22 / kidney-disease-prediction-model Goto Github PK
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A machine learning application, deployed using Flask, is designed to identify the presence of kidney disease in patients by analyzing various medical features.
License: MIT License