Proceeding of the 1st International Conference on Lifespan Innovation (ICLI 2025)

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Flutter-Based Chatbot for CNC Machine Operators in Manufacturing

Authors
Harsh Sanchaniya1, *, Dhruv Sinha1, Ashish Joshi1, Sneha Kothimbire1, Bharati Vasgi1, Punam Chavan1
1Department of Information Technology, Marathwada Mitra Mandal’s College of Engineering, Pune, 411052, Maharashtra, India
*Corresponding author. Email: harsh2003sanchaniya@gmail.com
Corresponding Author
Harsh Sanchaniya
Available Online 31 August 2025.
DOI
10.2991/978-94-6463-831-8_49How to use a DOI?
Keywords
CNC Machines; Chatbot; Feature Extraction; Industry 4.0; Real time Monitoring
Abstract

This paper presents the design and development of a Flutter-based chatbot application tailored for CNC (Computer Numerical Control) machine operators in the manufacturing industry. Developed in collaboration with an industrial sponsor, the system integrates IoT-driven telemetry data collection with real-time analytics to enhance operational efficiency. The architecture leverages Apache Kafka for data streaming, PostgreSQL for structured storage, and Hasura’s GraphQL engine for seamless backend interaction. Data pipelines are orchestrated using Apache Airflow to process and transform critical CNC metrics such as spindle speed, feed rate, and alarm statuses. A large language model refines user queries and contextualizes responses, enhancing chatbot accuracy. The chatbot, accessible via a user-friendly Flutter interface, supports multimodal interaction, allowing operators to retrieve machine performance insights through text-based queries and speech-based input queries. By providing real-time analytics and predictive insights, the system empowers operators to optimize machine performance, reduce downtime, and streamline production workflows. This innovative approach contributes to intelligent manufacturing through automation and data-driven decision-making.

Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceeding of the 1st International Conference on Lifespan Innovation (ICLI 2025)
Series
Advances in Health Sciences Research
Publication Date
31 August 2025
ISBN
978-94-6463-831-8
ISSN
2468-5739
DOI
10.2991/978-94-6463-831-8_49How to use a DOI?
Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Harsh Sanchaniya
AU  - Dhruv Sinha
AU  - Ashish Joshi
AU  - Sneha Kothimbire
AU  - Bharati Vasgi
AU  - Punam Chavan
PY  - 2025
DA  - 2025/08/31
TI  - Flutter-Based Chatbot for CNC Machine Operators in Manufacturing
BT  - Proceeding of the 1st International Conference on Lifespan Innovation (ICLI 2025)
PB  - Atlantis Press
SP  - 403
EP  - 411
SN  - 2468-5739
UR  - https://doi.org/10.2991/978-94-6463-831-8_49
DO  - 10.2991/978-94-6463-831-8_49
ID  - Sanchaniya2025
ER  -