Jabez Gershon, Aldrin and Gokul, V. and Mohana Priya, P. (2025) Grabez A Visual Flow-Based Builder for Intelligent Systems and Learning Pipelines. In: 2nd International Conference on Global Trends in Engineering and Technological Advancement (2nd ICGTETA’25).
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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 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, chatbots, models etc. are made by 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 it as a template for your own project.
In this lesson, you are going to play around a playground built with ReactFlow and add or drop
different blocks of code for specific tasks (AI/ML apps) like building a house step-by-step. The
main purpose of this project is to be a tool for students and researchers to learn with ease about
the flow of models, algorithms, and applications both visually and technically. This application
is extended to support next-level advanced tasks which may involve deep learning or pipeline
operations and also provides an extension that allows users to make use of it in any IDE they
are comfortable with.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Subjects: | Computer Science Engineering > Data Modeling |
| Domains: | Computer Science Engineering |
| Depositing User: | Mr Prabakaran Natarajan |
| Date Deposited: | 18 Dec 2025 04:37 |
| Last Modified: | 18 Dec 2025 04:37 |
| URI: | https://ir.vistas.ac.in/id/eprint/11664 |


