GRABEZ – A VISUAL FLOW-BASED BUILDER FOR INTELLIGENT SYSTEMS AND LEARNING PIPELINES

Mohana Priya, P. and Jabez Gershon, Aldrin and Gokul, V (2026) GRABEZ – A VISUAL FLOW-BASED BUILDER FOR INTELLIGENT SYSTEMS AND LEARNING PIPELINES. INTERNATIONAL CONFERENCE ON RECENT ADVANCES IN SCIENCE, ENGINEERING AND MANAGEMENT,TAGORE ENGINEERING COLLEGE, CHENNAI. ISBN 978-81-69050-45-6

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Abstract

Nobody drops hard-coding in the industry today. Applying AI assistants and tools to finish our code, projects and tasks is the reality of today‘s tech world. This dancing method is referred to as the Vibe Code. This is what vibe coding is all about and it does focus on program synthesis, which enables the construction of algorithms, models for learning and applications without having to write programs from scratch. Agents, chat bots, models etc are made with simply dragging the blocks and connecting them to each other; and you can even see their code and change it (and download the wireframe) or use as a template for your own project. In this lesson, you are going to play around a playground build with ReactFlow and add drop different blocks of code for specific tasks (AI / ML apps) like building a house with steps. This is the main purpose of the project to be simply a tool for this, for the students and researchers learn with ease about flow of models, algorithms and applications visually and technically. This application is extended to support with next level advanced tasks which may involve deep learning, or pipe line kind of operation and also provide an extension that allows the users to make use of it in any IDE they are comfortable.

Item Type: Book
Additional Information: INTERNATIONAL CONFERENCE ON RECENT ADVANCES IN SCIENCE, ENGINEERING AND MANAGEMENT
Subjects: Computer Science Engineering > Computer Vision
Domains: Computer Science Engineering
Depositing User: Mr IR Admin
Date Deposited: 12 May 2026 04:45
Last Modified: 12 May 2026 04:45
URI: https://ir.vistas.ac.in/id/eprint/18463

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