Hi ! I'm Kavinandhan B

A passionate ML, Systems Engineer from India

I am enthusiastic about applying my skills and knowledge as a systems and machine learning engineer. With a robust foundation in programming languages such as Python, JavaScript, and Node.js, coupled with expertise in machine learning, VLSI, and database management systems, I am confident in my ability to deliver outstanding results. My proficiency in Linux and virtual machines, along with a solid understanding of computer architecture, further enhances my skills. I am eager to continue learning and advancing in this field, and I am excited about the opportunity to make a positive impact.

Skills

🌱 I’m currently Pursuing ECE @Amrita university Coimbatore
👯 I’m looking to collaborate on more ML and DL projects
👨‍💻 All of my projects are available at https://github.com/kavinandhanb
💬 Ask me about Machine Learning and Deep Learning
📫 How to reach me [email protected]

Connect with me:

💻 Languages and Tools:

Kavinandhan B's Projects

2023_19cse447-cloud-computing

19CSE447 - Cloud Computing - 7th Sem - B.E. EEE & ELC (Elective) - ASE, CBE

a-fmhy-search-engine

A search engine for the link collection FMHY (https://fmhy.net/)

awesome-discord-communities

A curated list of awesome Discord communities for programmers

fmhy

/r/FREEMEDIAHECKYEAH

gre-content

gre content hehe

gre_prep

This is a guide for how one can prepare for GRE within a month's duration.

kavinandhanb

My readme Profile!

university-students-attendence-manager

A Flutter based Attendence Manager system for Universities

video-object-tracking

Object tracking refers to the ability to estimate or predict the position of a target object in each consecutive frame in a video once the initial position of the target object is defined. In other words, it is the task of estimating or predicting the positions and other relevant information of moving objects in a video. Object tracking usually involves the process of object detection. Here’s a quick overview of the steps: Object detection, where the algorithm classifies and detects the object by creating a bounding box around it. Assigning unique identification for each object (ID). Tracking the detected object as it moves through frames while storing the relevant information.

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