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Lucy – Intelligent Shopping Assistant using Python
Kaushal Vala, Ronak Kataria, Parth Panjabi, Amit Patel
V. T. Patel Department of Electronics and Communication, CSPIT, CHARUSAT University & Changa, India
Abstract: This paper focuses on a Natural Language Processing (NLP) system and Image Recognition using python and Raspberry Pi. NLP Engines are widely used in various tech domains such as surveillance, defense, advanced medical diagnosis, virtual assistant and machine learning. Open CV based image processing algorithm is applied for image recognition, facial comparison, pattern recognition, security system, object detection and deep learning. In this proposed system to implement intelligent QAS system, NLP and Image processing are integrated.
Keywords: Natural Language Processing (NLP), Image Recognition, Open CV, QAS, Text to Speech, Speech to Text, Shopping Assistant Lucy – Intelligent Shopping Assistant using Python
DOI:https://doi.org/10.6025/jmpt/2019/10/2/69-76
Full_Text   PDF 2.59 MB   Download:   179  times
References:[1] Lestari, D., Rahman, R. (2017). A Spoken- Based Question Answering System for Train Route Service using the Frame-Based Approach in Electrical Engineering and Informatics (ICEEI), 2017 6th International Conference. [2] Menaha, R., Udhaya Surya, A., Nandhni, K., Ishwarya, M. (2017). Question Answering System Using Web Snippets, in ISMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC), 2017 International Conference. Once the user completes searching of the product, Lucy asks if the user wants to review the previously bought products. [3] Sweta, P. (2016). Lende, Raghuwanshi, M. M. (2016). Question Answering System on Education Acts using NLP Techniques, IEEE sponsored world conference on futuristic trends in Research and Innovation for Social welfare - 2016. [4] Umm-e-Laila, M., Ahmad Khan, Kashif Shaikh, M., Mazhar, S., Meh boob, K. (2017). Comparative analysis f or a Real Time Face Recognition System Using Raspberry Pi, Smart Instrumentation, Measurement and Application (ICSIMA), 2017 IEEE 4th International Conference. [5] Goyal, K., Agarwal, K., Kumar, R. (2017). Face Detection and Tracking Using OpenCV, Electronics, Communication and Aerospace Technology (ICECA), 2017 International Conference. [6] Karve, S., Shende, V., Ahmed, R. (2018). A comparative analysis of feature extraction techniques for face recognition, International Conference on Communication information and Computing Technology. [7] Mutiwokuziva, M., Chanda, M., Kadebu, P., Mukwazvure, A., Gotora, T. (2017). A Neural-network based Chat Bot, International Conference on Communication and Electronics Systems. [8] Zhang, M., Martin, P., Powley, W., Chen, J. (2017). Workload Management in Database Management Systems: A Taxonomy, In: IEEE Transactions on Knowledge and Data Engineering.

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