CUSTOMIZABLE AUTOMATED FOOD ORDERING APPLICATION USING ANDROID AND DATA MINING TECHNIQUES

March 2017
Vol-3, Issue-2
Paper ID: 4228
ISSN: 2395-4396
Downloads: 0

Abstract & Details

Research Area
Computer Engineering
Keywords
Android Application Cluster Data Mining Techniques Frequent Item Sets Wireless food ordering system
Abstract
The development in computer and communication technology has large influence on the transactions in business. In previous days, food and other industry traditionally has been left behind other industries in adapting new computer and other wireless technology. However fast advancement in computer and information technology and high expectations of customer has force the food and other industry to bring automation and robotic in the process. Nowadays, the adaption of wireless technology & dawn of mobile and android has led to automation in the not only in communication but also food industry. The business transaction and services in restaurants can be improved with the combination of wireless and mobile technologies and also by using android technology. In this paper, a customizable food ordering system is proposed which can keep track of user orders smartly. Here basically we are going to implement food ordering system for various type of restaurants in which user will make order or make custom food by one click only. The implementation of this system will be done using android application for Tablet PC’s also various algorithm has been used to make system smarter. Here data mining algorithm such as apriori has been applied for the frequently used food item combination and k-means has been used for bill clustering which has make system smarter. Here we have developed the web portal of the system which will allow the consumer to access the system through web page. We have developed this system customizable so this system can have been used for various type of restaurant.

Author Information

# Name Institute / Affiliation
1 Aniruddha Kale Pune District Education Association's Collage Of Engineering Manjari(bk)
2 Tejas Patil Pune District Education Association's Collage Of Engineering Manjari(bk)
3 Dineshkumar Pawar Pune District Education Association's Collage Of Engineering Manjari(bk)
4 Dr. R. V. Patil Pune District Education Association's Collage Of Engineering Manjari(bk)

How to Cite

Use the following formats to cite this article in your research.

APA Style
Kale, Aniruddha, Patil, Tejas, Pawar, Dineshkumar, & Patil, Dr. R. V. (2017). CUSTOMIZABLE AUTOMATED FOOD ORDERING APPLICATION USING ANDROID AND DATA MINING TECHNIQUES. International Journal of Advance Research and Innovative Ideas In Education, 3(2), 1141-1146.
MLA Style
Kale, Aniruddha, et al. "CUSTOMIZABLE AUTOMATED FOOD ORDERING APPLICATION USING ANDROID AND DATA MINING TECHNIQUES." International Journal of Advance Research and Innovative Ideas In Education, vol. 3, no. 2, 2017, pp. 1141-1146.
IEEE Style
Aniruddha Kale, Tejas Patil, Dineshkumar Pawar, and Dr. R. V. Patil, "CUSTOMIZABLE AUTOMATED FOOD ORDERING APPLICATION USING ANDROID AND DATA MINING TECHNIQUES," International Journal of Advance Research and Innovative Ideas In Education, vol. 3, no. 2, pp. 1141-1146, 2017.
Vancouver Style
Kale Aniruddha, Patil Tejas, Pawar Dineshkumar, Patil Dr. R. V.. CUSTOMIZABLE AUTOMATED FOOD ORDERING APPLICATION USING ANDROID AND DATA MINING TECHNIQUES. International Journal of Advance Research and Innovative Ideas In Education. 2017;3(2):1141-1146.
Harvard Style
Kale, Aniruddha, Patil, Tejas, Pawar, Dineshkumar, & Patil, Dr. R. V. (2017) 'CUSTOMIZABLE AUTOMATED FOOD ORDERING APPLICATION USING ANDROID AND DATA MINING TECHNIQUES', International Journal of Advance Research and Innovative Ideas In Education, 3(2), pp. 1141-1146.
Chicago Style
Kale, Aniruddha, et al. "CUSTOMIZABLE AUTOMATED FOOD ORDERING APPLICATION USING ANDROID AND DATA MINING TECHNIQUES." International Journal of Advance Research and Innovative Ideas In Education 3, no. 2 (2017): 1141-1146.
Turabian Style
Kale, Aniruddha, et al. "CUSTOMIZABLE AUTOMATED FOOD ORDERING APPLICATION USING ANDROID AND DATA MINING TECHNIQUES." International Journal of Advance Research and Innovative Ideas In Education 3, no. 2 (2017): 1141-1146.

Export Citation

Related Research

A Deep Learning-Based Framework for Mood-Oriented Music Recommendation Using Facial Expression Analysis
Vaibhav Ashok Bhangare et al. 2026 Computer Engineering
PDF Unavailable
Survey On : Intelligent Payroll and Human Resource Management Systems: A Systematic Review of Automation, Security, and Analytics
Vishakha Jadhav et al. 2026 Human Resource Management, Artificial Intelligence, Machine Learning, Payroll Systems, Cybersecurity, Business Intelligence, Robotic Process Automation, Employee Analytics, Digital Transforma
PDF Unavailable
Civic Engagement & Empowerment Platform
Supriya Dadaso Bankar et al. 2026 Computer engineering
PDF Unavailable
RAG System Development with Pydantic AI ChromaDB & Groq
Prof. Priyanka P. Kakade et al. 2026 Computer Engineering
PDF Unavailable
Machine Learning Based Early Stage Diabetes Detection System
Rohan Mulik et al. 2026 Computer Engineering
PDF Unavailable
A Survey on Skillsense:AI Career Analyzer App
Kirti Datir et al. 2026 Computer Engineering
PDF Unavailable
Employee Performance Portal
P.Harika et al. 2026 Computer science and engineering
PDF Unavailable