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Title of The Paper : INTELLIGENT APPLICATION OF VOICE RECOGNITION AND PERSONAL SECRETARIAT FOR EFFECTIVE BUSINESS MANAGEMENT

Paper Number -7608

Name of Author with designation and affiliation

1 Sumedh Vichare , Student, D.J. Sanghvi College of Engineering

2 Varun Mehta, Student, D.J. Sanghvi College of Engineering

3 Dr. Ramchandra Mangrulkar , Associate Professor , D.J. Sanghvi College of Engineering

4 Raveena Tripathi, Student, D.J. Sanghvi College of Engineering

5 Sunil Kumhar, Student, D.J. Sanghvi College of Engineering

Name of Track : Computer Engineering

Session Number : S22/5

Date : 22-12-2022

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Introduction
Literature Survey
Proposed System
GUI Design
Implementation
Conclusion
References

Index:

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A predominant section of the population who run small businesses and depend on registers and notebooks to keep track of their day-to-day business activities and transactions.
This has majorly been the case due to the unfamiliarity with digital means to manage their business.
A mobile application working as a personal secretary for store management, developed to be accessible even to technology has been developed.
Collaborative filtering and association rule mining have been introduced to discover meaningful linkages and correlations between the data to analyse past purchases and recommend products.

1. Introduction

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2. LITERATURE SURVEY

Publication	Contribution	Comments
Febriyanti Darnis.(2017) Mobile application for inventory control in a mini mart[1]	Design a mobile application of inventory system	How inventory systems makes employees in a mini mart organize, process, and monitor the movement of inventory items more easily.
Anupam Shukla et al(2020) Voice Recognition Techniques: A Review Paper[2]	Present a holistic view of the acceptance of speech that describes processes and summarizes the methods used in the standard speech system.	Represents how voice communications are faster than using a keyboard and its advantages
T. Karthikeyan and N. Ravikumar.(2014) A survey on association rule mining.[3]	Giving a theoretical survey on some of the existing association rule mining algorithms.	Demonstrates the concepts behind association rules, an overview of some of the previous research works done in this area
S. Maitrey and C. K. Jha. (2014) Association Rule Mining: A technique for Revolution in Requirement Analysis[4]	Present an association rule mining technique to group transactions	Uses the association mining technique to perform market basket analysis and analyse the changes in customer needs

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3. PROPOSED SYSTEM

React and react native for mobile and web application
Python for machine learning
Razorpay for payment gateway
React-native-community voice for voice recognition
React-native-text-recognition for text extraction

TECHNOLOGY

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4. GUI DESIGN

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Dataset

Transactions occurring for a UK-based and registered[5], non-store online retail between 01/12/2010 and 09/12/2011.

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Data pre-processing and transformation
Data mining and knowledge extraction

User to User Similarity matrix

Item to item similarity matrix

Recommendations based on user

Recommendations based on item

5.IMPLEMENTATION

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A personal secretary application with voice recognition intelligence has been developed. The voice command feature assists users in conveniently using the application even during busy store hours. This product will prove to be beneficial by keeping track of all the sales and providing them insights such as the most profitable products.
In the current build of the product, features such as inventory management, staff management, sales tracking and provision to restock by directly contacting the wholesale suppliers has been implemented. In addition, the voice command feature has been developed in the English language.

6. CONCLUSION

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REFERENCES

�[1] Febriyanti Darnis. “Mobile Application for Inventory Control in a Minimart”. In: ComTech: Computer, Mathematics and Engineering Applications 8 (June 2017), p. 101. DOI: 10.21512/comtech.v8i2.3755. (Visited on 05/21/2021). �[2] Chandradeep Vishal Ku. Singh Anupam Shukla Sumit Yadav. “Voice Recognition Techniques: A Review Paper”. In: IRJET 7 (June 2020), pp. 5128–5132. (Visited on 09/14/2021).� �[3] T. Karthikeyan and N. Ravikumar. “A Survey on Association Rule Mining”. In: IJARCEE 3 (Jan. 2014), pp. 5223–5227. (Visited on 05/04/2022).� �[4] S. Maitrey and C. K. Jha. “Association Rule Mining: A Technique for Revolution in Requirement Analysis”. In: International Journal of Scientific and Research Publications 4 (Aug. 2014). (Visited on 05/21/2022).

�[5] Daqing Chen, Sai Sain, and Kun Guo. “Data mining for the online retail industry: A case study of RFM model- based customer segmentation using data mining”. In: Journal of Database Marketing Customer Strategy Management 19 (Sept. 2012).