Learner, Software Developer at office DevOps & Sys Admin at home

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Advaith Narayanan  • Peerlist

A blockchain-enabled tool for dataset creation that empowers users to take ownership of the datasets they have meticulously labeled. This ownership not only opens up opportunities for monetizing their datasets but also provides a verifiable proof of authenticity when these datasets are published in papers and journals.

Cryptoflow

Masuku is a API service that utilizes a custom trained YOLO V5 object detection model to detect human faces and determine the presence of face coverings. It provides an API which can be used for web or mobile applications. This application is intended to assist in environments where face coverings are required for safety and compliance purposes.

Masuku

We addressed the Sustainable Management of Waste by creating an AI-integrated drinking water dispenser. This innovative solution uses AI to determine if waste bottles are reusable or recyclable. Recyclable bottles are compacted by an inbuilt hydraulic press for efficient recycling transport, while reusable bottles can be washed and refilled. Our main goals were to educate users on recyclability and reusability, promote participation in waste disposal, and provide drinking water. Despite a limited dataset, we developed an AI model with 87% accuracy in identifying recyclable bottles within 24 hours. This project not only highlights practical applications of machine learning but also showcases our team's dedication and innovation. I’m particularly proud of our collaborative effort and the opportunity to apply my machine learning skills. I will share the AI model code on my GitHub for further development. This project is a testament to our commitment to sustainable practices and teamwork.

Sustainable Water Dispenser with Waste Managr

A simple profile page, which is a showcase of my web development skills along with all my social pages

Portfolio Page

The project was the development of a web app called DrugAware. This app aims to provide information about drug abuse, its effects, and ways to prevent and report it. In addition, the app will identify patterns of drug abuse, which can help law enforcement agencies to take preventive measures. The app also includes a chatbot to help users identify drugs and medications.

Drug Aware

Shreshta'23, The techno-cultural fest at MITS. The website makes use of ReactJS as the frontend and was deployed using containerization and serverless  cloud technologies to achieve the same.

Shreshta 2023 Website

Varnam is the annual intra-college cultural fest, the website for the event was made using ReactJS and deployed using Cloudflare pages

Varnam 2023 Website

SOOT is an interactive dashboard through which users can analyses pollution caused by their vehicles. Users will be awarded with credits and NFTs and they can trade these carbons for organization through carbon trading. Technologies such as IPFS, and the Polygon blockchain network were used.

SOOT

A beginner friendly workshop covering Git & GitHub concepts and a brief intro into the Open Source world and Hacktoberfest, along with a open to all repository that anyone can contibute to

Let's Git Started

Creation, deployment along with domain configuration of the websites for college sports and arts event

Spark and Varnam Websites (Collage arts and s

This project was a simple restaurant management system written in python, in the format of a menu driven CLI application making use of MySQL for the database to store the details and SMTP packages in python to send receipts via mail