Roshan George's repositories
AgroLedger
This project aims to solve the problem of lack of transparency in the agro-food supply chain. By using a blockchain-based system and intelligent sensors, consumers can scan a QR code on food packaging to access detailed information about the product they are purchasing, including sustainability scores and toxicity reports.
LimpioVote
A blockchain-based D-App for conducting elections can address flaws in the current system, such as voter fraud and ballot manipulation.
TAX_CHAIN
The purpose of this project is to create a decentralized application (Dapp) that utilizes the Polygon chain to generate a unique QR code for each product. Consumers can scan this code to trace the product's journey from source to store, which brings transparency to supply chain management and shows who paid the tax.
Beckn-QR
Beckn QR is a product that generates interoperable QR codes similar to UPI QR codes that allow a consumer on any beckn-enabled application to connect to and transact with any provider that has their catalog exposed as a beckn-endpoint.
beckn-qr-code-generator
Beckn QR is a product that generates interoperable QR codes similar to UPI QR codes that allow a consumer on any beckn-enabled application to connect to and transact with any provider that has their catalog exposed as a beckn-endpoint
BlocBallot_PragyanHackathon24
BlocBallot is a distributed-token based voting platform that leverages the power of cosVM blockchain to ensure secure and private elections. Built on top of the Cosmos blockchain and leveraging AI based biometric authorization technologies, BlocBallot creates a zero-knowledge voting proof for the voters within the DApp.
building-blocks
This repository contains a list of building blocks that are useful for anyone wishing to implement beckn protocol
combat_NLP_attacks
The Project Involves combating adversial attack on LLMs using Multi Agent Debate Methodology.
Enhanced-Kidney-Analysis
In this study, we present an approach that utilizes the Squeeze and Excitation DenseNet (SEDenseNet) architecture to advance kidney disease analysis through image processing. The obtained outcome, specifically the accuracy rate, has been measured at an impressive 99.56%.
FloraSnap
A Plant Disease Detection App! This Flutter application helps farmers and gardeners diagnose plant diseases by analyzing images of their plants and providing relevant information and recommendations using the Google Gemini API.
Ivy-Octernships-ML
This is the Octernships assignment for Ivy GitHub Octernships