Team
WikiClickie
Project Concept
We aim to make Wiki a more reliable source of information by minimizing inaccuracies. To achieve this, we’re developing an app that automatically verifies the truthfulness of Wikipedia pages, fact by fact, and generates correction requests when discrepancies are found.
Entry
Status: Submitted
Last saved: May 14 at 3:05 PM IDT
Team Roster
Message board not available for this team yet.
Arseniy Pertzovsky Team Lead RSVP Approved
Researcher at Bright Data
Introduced the idea and is the presenter of the project.
At age 15 I came to Israel and I always wanted to be an engineer. Currently I am after my PhD and I am. Looking for new frontiers to achieve.
RL, agentic AI
An app for jewish agency that helps to build lessons for kids.
Noam Aghai RSVP Approved
Software Engineer at HIT
Code and ideas contributor. Built the structure of the project.
I'm an expiriences full stack software engineer which is very enthusiast about learning the most advanced technologies in the AI field
I want to learn more about MCPs and recent ai models achievements and when and how to use them the best
Sass and apps backed by LLMs and computer vision models
Beni Gutman RSVP Approved
Software engineer at Cypago
Code and ideas contributor.
Beni Gutman is a Software Engineer at Cypago, with 4 years of experience. He is interested in software engineering, agent security, and observability. Beni studied Computer Software at Adir Bamarom College and is located in the Center District, Israel.
Software engineering, Agent security and observability.
Eden Margolis RSVP Approved
Software Engineer at None
No contribution.
I am an experienced Java backend developer with a proven track record of leveraging AWS, SQL, Spring Boot, Microservices, and Agile methodologies to deliver scalable solutions that drive business impact. With a strong focus on optimizing software development processes, I consistently contribute to increased efficiency and quality standards.
My passion lies in tackling complex challenges and driving meaningful outcomes through innovative solutions. Throughout my career, I have thrived in dynamic environments where I have honed my skills and expertise in delivering high-quality software solutions.
I am enthusiastic about exploring new opportunities to apply my skills and contribute to forward-looking organizations.
I am interested in the combination of AI and stock market information. I would like to create meaningful tools which will make the stock market even easier to understand for persons who have no clue in economics.
Just finished my first MCP server project with more to come
https://github.com/edenmargolis/smart-task-scheduler-mcp