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New MLSA
Microsoft Learn Student Ambassadors,
@ajaykumarn3000
Ajaykumar Nadar
@ajaykumarn3000
👋 Ajaykumar Nadar: Full-Stack Web & Python Developer. Passionate about coding and problem-solving. Let's build together!
👋 Ajaykumar Nadar: Full-Stack Web & Python Developer. Passionate about coding and problem-solving. Let's build together!
New MLSA, Microsoft Learn Student Ambassadors
Mumbai, India
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Inikit is a CLI tool that scaffolds modern Next.js projects with integrated support for TypeScript, ESLint, Prettier, and commitlint to enforce a robust development workflow.
TypeScript
7Stars
4Forks
Powerful CLI tool designed to help developers reclaim disk storage by efficiently deleting unwanted package files and dependency folders from nested project structures.
TypeScript
1Stars
0Forks
A Python-based real-time weapon detection system using YOLO11 and OpenCV, trained on a dataset of 26K+ images across 17 weapon classes. Detects weapons from live webcam/IP feeds, clips footage, and sends time-stamped alerts via Telegram for public safety.
Python
5Stars
1Forks
This is the repository of the ITS-A-Hack!! 48 hour Online Hackathon website, organized by the Information Technology Student Association (ITSA)
JavaScript
3Stars
0Forks
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As a Microsoft Learn Student Ambassador, I have the privilege of representing Microsoft within the academic community. In this role, I am dedicated to fostering a collaborative and innovative learning environment.
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Microsoft Learn Student Ambassadors,
Our project encompasses two distinct models: one predicts diseases based on symptoms, while the other forecasts diabetes using insulin, glucose levels, and blood pressure.
Users can leverage our project for: Enhanced Disease Diagnosis: Healthcare professionals can utilize the symptom-based disease prediction model to improve the accuracy and speed of disease diagnosis, leading to timely interventions and better patient outcomes. Diabetes Management: Individuals with diabetes can benefit from the diabetes prediction model, which uses insulin, glucose, and blood pressure data to provide personalized insights for better management of the condition. Early Intervention: By providing early warnings and insights, our project enables healthcare providers to intervene sooner, potentially preventing complications and improving overall health outcomes. Tailored Healthcare: The dual-model approach offers tailored insights for each individual, allowing for personalized healthcare management based on specific symptoms and health data.