BTech in Computer Science with specialization in AI and ML.

Secured 92.2% and 78.2% in 10th and 12th grade respectively.

Raspberry Pi, sensor arrays, and Python were utilized in this project to analyze vital signs, providing personalized health insights based on BMI, oxygen saturation, pulse rate, height, weight, and stress levels.

A Python-based system uses OpenCV to accurately detect emotions from facial expressions, then uses a predefined database to recommend suitable music for improved user listening experience.

Python-based digital canvas enhances drawing and interactive presentations, revolutionizing interaction with digital content through precise finger tracking, paving the way for creative expression.

Our Arduino project utilizes sensors, an Arduino UNO, and C++ to detect motion and automatically initiate actions, improving security and efficiency in various settings, including lighting control.

Our Python proficiency enabled us to create unique Telegram bots for various applications, optimizing file management, and facilitating quick URL uploads, with over 30 bots developed for various clients.

This Workshop included curriculum from Microsoft AI-102 including various techniques like ML, MLOps,Azure ML features, DevOps Lifecycle, Azure ML designer and mastered Azure AI Services.

The MasterClass provided a comprehensive understanding of Docker, Kubernetes, and the fundamental best practices for DevOps.

The MasterClass provided a solid foundation in SD and underscored the importance of understanding these concepts for creating effective applications.

Completed the MATLAB Beginners Course and am now proficient with the application.

Completed their bootcamp with GDSC and MLSA on Introduction to Data Visualization using Python and Seaborn.