Author:
Karthik K, Vignesh K, M.DhurgadeviPublished in
Journal of Science Technology and Research( Volume , Issue )
1. Oxford handbook of nutrition and dietetics edited by Joan Webster-Gandy, Angela Madden and Michelle Holdsworthhttp://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp= arnumber=4635195&queryText%3DArtificial+I ntelligence+Dietician.
2. An Android based Application Volume: 07 Issue: 01 | Jan 2020 ISSN: 2395-0072
3. Semantic Modeling for Personalized Dietary RecommendationDOI:10.1109/SMAP.2018.85018 64Corpus ID: 53029680 13th International Workshop on Semantic and Social Media Adaptation and Personalization
4. Ontology modeling of Malaysian food composition INSPEC Accession Number: 1656450 DOI:10.1109/INFRKM.2016.7806352 05 January 2017
5. FoodWiki: a mobile app examines side effects of food additives via semantic web November 2015Journal of Medical Systems 40(2) DOI: 10.1007/s10916-015-0372-6
6. An analytical approach to building a core ontology for food January 2017Journal of Documentation 73(1):123 – 144 DOI: 10.1108/JD-02-2016-0015
7. Food Track & Trace ontology for helping the food traceability control January 2014Journal of food Engineering 120(1):17-30 DOI: 10.1016/j.jfoodeng.2013.07.017
8. Food Constituent and Food Metabolite Databases January 2020 DOI: 10.1016/B978-008-100596-5.22772-8 In book: Reference Module in Food Science
9. Peptidomics in Food ISSN 1330-9862 review (FTB-1861) PL-10-726 Olsztyn-Kortowo, Poland
10. Food image segmentation using edge adaptive based deep-CNNs ISSN: 2049-6427 Publication date: 23 December 2019 International Journal of Intelligent Unmanned Systems Volume 8 Issue 4
11. Food traceability technologies and foodborne outbreak ISSN: 0007-070X Publication date: 21 November 2019 British Food Journal Volume 121 Issue 12
12. Karthick, R., et al. “Overcome the challenges in bio-medical instruments using IOT–A review.” Materials Today: Proceedings (2020). https://doi.org/10.1016/j.matpr.2020.08.420
13. Karthick, R., et al. “A Geographical Review: Novel Coronavirus (COVID-19) Pandemic.” A Geographical Review: Novel Coronavirus (COVID-19) Pandemic (October 16, 2020). Asian Journal of Applied Science and Technology (AJAST)(Quarterly International Journal) Volume 4 (2020): 44-50.
14. Sathiyanathan, N. “Medical Image Compression Using View Compensated Wavelet Transform.” Journal of Global Research in Computer Science 9.9 (2018): 01-04.
15. Karthick, R., and M. Sundararajan. “SPIDER-based out-of-order execution scheme for Ht-MPSOC.” International Journal of Advanced Intelligence paradigms 19.1 (2021): 28-41. https://doi.org/10.1504/IJAIP.2021.114581
16. Sabarish, P., et al. “An Energy Efficient Microwave Based Wireless Solar Power Transmission System.” IOP Conference Series: Materials Science and Engineering. Vol. 937. No. 1. IOP Publishing, 2020. doi:10.1088/1757-899X/937/1/012013
17. Vijayalakshmi, S., et al. “Implementation of a new Bi-Directional Switch multilevel Inverter for the reduction of harmonics.” IOP Conference Series: Materials Science and Engineering. Vol. 937. No. 1. IOP Publishing, 2020. doi:10.1088/1757-899X/937/1/012026
18. Karthick, R., and M. Sundararajan. “Hardware Evaluation of Second Round SHA-3 Candidates Using FPGA (April 2, 2014).” International Journal of Advanced Research in Computer Science & Technology (IJARCST 2014) 2.2.
19. Karthick, R., et al. “High resolution image scaling using fuzzy based FPGA implementation.” Asian Journal of Applied Science and Technology (AJAST) 3.1 (2019): 215-221.
20. Subramanian, AT Sankara, et al. “A review on selection of soft magnetic materials for industrial drives.” Materials Today: Proceedings 45 (2021): 1591-1596
21. Meenalochini, P., and S. P. Umayal. “Comparison of Current Controllers on Photo Voltaic Inverters Operating as VAR Compensators.” Journal of Electrical Engineering The Institution of Engineers, Bangladesh Vol. EE 38.
22. Kalavalli, C., et al. “Dual loop control for single phase PWM inverter for distributed generation.” Materials Today: Proceedings 45 (2021): 2216-2219.
23. Karthick, R., A. Manoj Prabaharan, and P. Selvaprasanth. “A Dumb-Bell Shaped Damper with Magnetic Absorber using Ferrofluids.” International Journal of Recent Technology and Engineering (IJRTE) 8 (2019).
24. Haq, S. Syed Abdul, et al. “A sinusoidal pulse width modulation (SPWM) technique for capacitor voltage balancing of nested I-type four-level inverter.” Materials Today: Proceedings 45 (2021): 2435-2439.
25. Rohini, S., and J. Jeyashanthi. “Improved Performance of Photovoltaic Inverters Utilizing in VAR Mode.” Irish Interdisciplinary Journal of Science & Research (IIJSR) 4.1 (2020): 15-20.
26. P. Sabarish, R. Karthick, A. Sindhu, N. Sathiyanathan, Investigation on performance of solar photovoltaic fed hybrid semi impedance source converters, Materials Today: Proceedings, 2020, https://doi.org/10.1016/j.matpr.2020.08.390
27. Karthick, R., A. Manoj Prabaharan, and P. Selvaprasanth. “Internet of things based high security border surveillance strategy.” Asian Journal of Applied Science and Technology (AJAST) Volume 3 (2019): 94-100.
28. Karthick, R., and M. Sundararajan. “A novel 3-D-IC test architecture-a review.” International Journal of Engineering and Technology (UAE) 7.1.1 (2018): 582-586.
29. Karthick, R., and M. Sundararajan. “Design and implementation of low power testing using advanced razor based processor.” International Journal of Applied Engineering Research 12.17 (2017): 6384-6390.
30. Karthick, R., and M. Sundararajan. “A Reconfigurable Method for TimeCorrelatedMimo Channels with a Decision Feedback Receiver.” International Journal of Applied Engineering Research 12.15 (2017): 5234-5241.
31. Karthick, R., and M. Sundararajan. “PSO based out-of-order (ooo) execution scheme for HT-MPSOC.” Journal of Advanced Research in Dynamical and Control Systems 9 (2017): 1969.
32. Karthick, R. “Deep Learning For Age Group Classification System.” International Journal Of Advances In Signal And Image Sciences 4.2 (2018): 16-22.
33. Karthick, R., and P. Meenalochini. “Implementation of data cache block (DCB) in shared processor using field-programmable gate array (FPGA).” Journal of the National Science Foundation of Sri Lanka 48.4 (2020). http://doi.org/10.4038/jnsfsr.v48i4.10340
34. Suresh, Helina Rajini, et al. “Suppression of four wave mixing effect in DWDM system.” Materials Today: Proceedings (2021). https://doi.org/10.1016/j.matpr.2020.11.545
35. M. Sheik Dawood, S. Sakena Benazer, N. Nanthini, R. Devika, R. Karthick, Design of rectenna for wireless sensor networks, Materials Today: Proceedings, 2021. https://doi.org/10.1016/j.matpr.2020.11.905
36. M. Sheik Dawood, S. Sakena Benazer, R. Karthick, R. Senthil Ganesh, S. Sugirtha Mary, Performance analysis of efficient video transmission using EvalSVC, EvalVid-NT, EvalVid, Materials Today: Proceedings,2021. https://doi.org/10.1016/j.matpr.2021.02.287.
ABSTRACT:
The Android Based Diet Consultant is a mobile app that helps users plan their diet based on personal health data. It collects basic inputs such as weight, height, age, gender, and activity level. Using this data, it calculates BMI and BMR to estimate ideal daily calorie intake. The app then creates personalized diet plans with the help of the RETE rule-pattern algorithm.Users receive meal suggestions categorized by breakfast, lunch, and dinner. High- and low-calorie foods are organized based on timing and user goals. The app supports different body types and weight ranges, offering plans for gaining or losing 1 pound per week. If the suggested plan isn’t accepted, alternatives are offered. This removes the need to visit a dietitian and saves time. With just a few clicks, users can access accurate, AI-based nutrition plans.
INTRODUCTION:
The Android Based Diet Consultant is a smart diet-planning app designed for mobile users. It helps people decide what to eat based on their weight, height, age, gender, and physical activity level. By calculating BMI and BMR, the app suggests the right amount of calories needed each day.Unlike traditional diet charts, this app uses the RETE algorithm to generate daily food recommendations. It supports people with any body type or weight range. Users can choose goals like gaining or losing one pound per week. Based on user input, the system suggests suitable meal plans for each part of the day—breakfast, lunch, or dinner.The app creates quick and accurate results without needing in-person help from a dietitian. It also offers alternative plans if the first one isn’t accepted. This makes diet planning faster, easier, and more flexible for all users.