Rijul Raman

@rijulraman23

Aspiring developer skilled in backend, machine learning, and Web3, eager to build impactful DApps and contribute to decentralization.

Aspiring developer skilled in backend, machine learning, and Web3, eager to build impactful DApps and contribute to decentralization.

Skill iconPython
Skill iconJava
Skill iconFlask
Machine Learning
Deep Learning

Bangalore, India

User avatar

Rijul Raman

@rijulraman23

Devfolio stats

Devfolio stats

2

projects

2

1

prize

1

2

hackathons

2

0

Hackathons org.

0

Top Projects

Top Projects

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zKonnect

Zero Knowledge. Zero Hassle.

Tackling Unauthorized Ticket Resales with zkSNARKs The Problem Unauthorized resale of tickets for high-demand and high-profile events, commonly referred to as black markets, has become a significant challenge: These black markets harm honest consumers by inflating prices and reducing accessibility. Event organizers suffer due to loss of control over ticket distribution and revenue. Our Solution Inspired by this growing issue, our app leverages the power of Zero Knowledge Proofs (zkSNARKs) to combat unauthorized resale. Core Idea: Bind tickets to the buyer's identity to prevent resale. Tailored specifically for high-demand and high-value events. How It Works Login-less Ticket Purchase System Buyers interact with a system that does not require traditional logins. Identity-Based Enforcement Tickets are tied to the buyer’s identity through: Aadhar (or equivalent) Credit card details (e.g., CVV and card number) Resale Prevention Sharing or reselling tickets would expose sensitive identity details. This ensures strong enforcement against unauthorized transfers. Selling points Login-less authentication: zKonnect offers loginless-authentication by doing away with conventional methods of centralized login. High-Security: All the compute during ticket verification is on-device and no information leaves the device ensuring privacy at the highest scale. Broad Applicability: Suitable for any event requiring robust privacy and security measures. Vision This system ensures a secure and transparent ticketing experience while preserving user privacy, addressing the pain points of the modern ticketing ecosystem.

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CryptoniteAI

It is a SaaS web application, dedicated to assisting enterprises in fortifying their business infrastructures by predicting and mitigating real-world threats. It was the winning project at HTF2.0

In the current cybersecurity market, the predominant focus revolves around reactive solutions post-attack, neglecting proactive prevention. CryptoniteAI seeks to redefine this landscape by introducing an innovative paradigm, specifically honing in on predicting emerging cyber threats. The methodology involves harnessing real-time data from the esteemed National Vulnerability Database, overseen by the US Government. Through the application of cutting-edge machine learning, we conduct global data analysis every two hours, ensuring our clients receive the most current insights. The system operates on real-time data feeds from the National Vulnerability Database (NVD) through the OpenCVE API. Leveraging this API, we gain access to comprehensive details regarding nascent vulnerabilities, attack vectors, and detailed CVSS Analysis. The implementation strategically assesses these factors to identify and prioritize concerning threats. With a commitment to bridging the gap between security and aesthetics, CryptoniteAI is not just a cybersecurity solution but a seamless and visually captivating experience for enterprises seeking unparalleled protection and insight into potential threats.