Estimating Indian Food Calorie with Convolution Neural Networks and Transfer Learning

Harshitha D S; Bhavana R; Rashmi N; Prof. Veena K

doi:10.32628/CSEIT2410324

Authors

Harshitha D S Computer Science and Engineering, R. L Jalappa Institute of Technology, Doddaballapura, Bangaluru, India Author
Bhavana R Computer Science and Engineering, R. L Jalappa Institute of Technology, Doddaballapura, Bangaluru, India Author
Rashmi N Computer Science and Engineering, R. L Jalappa Institute of Technology, Doddaballapura, Bangaluru, India Author
Prof. Veena K Computer Science and Engineering, R. L Jalappa Institute of Technology, Doddaballapura, Bangaluru, India Author

DOI:

https://doi.org/10.32628/CSEIT2410324

Keywords:

Transfer Learning Techniques, Convolutional Neural Networks

Abstract

The project's primary objective is to develop a robust and adaptable neural network model capable of recognizing the diverse range of Indian dishes from images. By harnessing the power of transfer learning, the model leverages pre-trained neural networks to extract relevant features, allowing for accurate identification of distinct dishes, even with limited training data. Endeavors addresses the vital need for precise and efficient estimation of calorie in Indian cuisine through the application of stateof-the-art transfer learning techniques in the realm of the food image recognition. Beyond food recognition, the project introduces a novel calorie estimation component. The neural network model, after identifying the dish in the image, utilizes its knowledge of the dish's ingredients and portion sizes to estimate calorie content. This integration of food recognizes and calorie content estimation serves a valuable tool for the individuals seeking to monitor their dietary intake and make informed nutritional choices, promoting a healthier lifestyle.

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References

Alty, S. R., Millasseau, S. C., Chowienczyk, P. J., & Jakobsson, A. (2020). Cardiovascular disease prediction using support Vector Machines. 200346th Midwest Symposium on Circuits and Systems.

Asadi, S., Roshan, S. E., & Kattan, M. W. (2021). Random forest swarm optimization- based for heart diseases diagnosis. Journal of Biomedical Informatics, 115, 103690. https://doi.org/10.1016/j.jbi.2021.103690 DOI: https://doi.org/10.1016/j.jbi.2021.103690

Asha Rajkumar, and Mrs G. Sophia Reena, 2020, “Diagnosis of Heart Disease using Data Mining Algorithms”, Global Journal of Computer Science and Technology, Vol. 10, Issue 10, pp.38-43, September

Ashish Chhabbi, Lakhan Ahuja, Sahil Ahir, and Y. K. Sharma,19 March 2022, “Heart Disease Prediction Using Data Mining Techniques”, International Journal of Research in Advent Technology, E-ISSN:2321- 9637, Special Issue National Conference “NCPC-2016”, pp. 104-106.

Bambrick, N. (2022). Support Vector Machines: A simple explanation. KDnuggets.RetrievedNovember3,2022, fromhttps://www.kdnuggets.com/2016/ 07/support-vector-machines-simple- explanation.html

Bhardwaj, R., Nambiar, A. R., & Dutta, D. (2017). A study of machine learning inHealthcare.2023 IEEE 41st Annual Computer Software and Applications Conference (COMPSAC). DOI: https://doi.org/10.1109/COMPSAC.2017.164

Boshra Bahrami, and Mirsaeid Hosseini Shirvani, February 2021, “Prediction and Diagnosis of Heart Disease by Data Mining Techniques”, Journal of Multidisciplinary Engineering Science and Technology (JMEST), ISSN:3159-0040, Vol. 2, Issue 2, pp. 164-168.

Camm, J. D., Cochran, J. J., Fry, M. J., & Ohlmann, J. W. (2021). Business analytics: Descriptive, predictive, prescriptive. Cengage.

Centres for Disease Control and Prevention. (2022, September 8). Heart disease and stroke. Enters for Disease Control and Prevention. Retrieved September 28, 2022, fromhttps://www.cdc.gov/chronicdisease/resources/publications/factsheets/heart-diseasestroke.htm

Chauhan, N. S. (2022, April). Naïve Bayes Algorithm: Everything you needtonow. KDnuggets.RetrievedOctober29,2022, fromhttps://www.kdnuggets.co m/2020/06/naive-bayes-algorithm- everything.html?hss_channel=tw-1318985240

SunilKumar, K.Srinivasamurthy, P.L.”Tensile and Hardness Behavior of RRA Treated Aluminum 7075 Alloy”, Lecture Notes in Mechanical Engineering, 2021, 23, pp. 563–575. DOI: https://doi.org/10.1007/978-981-15-4739-3_49

Sunil Kumar, K., Srinivasa Murthy, P.L., “Retrogression and re-aging of AL-7075 microstructure and corrosion behavior characterization”, International Journal of Engineering and Advanced Technology, 2019, 9(1), pp. 4377–4383. DOI: https://doi.org/10.35940/ijeat.F8452.109119

Sunil Kumar, K., Srinivasa Murthy, P.L., “Effect of retrogression and re-aging on fatigue crack growth behavior of Al 7075 Alloy”, International Journal of Innovative Technology and Exploring Engineering, 2019, 8(10), pp. 243–247. DOI: https://doi.org/10.35940/ijitee.I8010.0881019

Sunil Kumar, K., Srinivasa Murthy, P.L., “Study on tribological characterization of RRA treated aluminium 7075 alloy”, Journal of Advanced Research in Dynamical and Control Systems, 2019, 11, pp. 560–569.

Sunil Kumar, K “Development of Standing Wave Thermo Acoustic Prime Mover”. International Journal Of Research In Advent Technology Vol.4 No.4,April 2016 E-ISSN: 2321-9637.

Sunil Kumar, K “Design And Development Of Automated Suspension To Chassis Damage” International Journal Of Research In Advent Technology Vol.4 No.4,April 2016 E-ISSN: 2561-9762.

Sunil Kumar, K Effect Of Heat Treatment On The Corrosion Behavior Of High Strength Aluminum Alloy International Journal Of Mechanical And Production Engineering, ISSN: 2320-2092, Volume- 5, Issue-10, Oct.-2017

Sunil Kumar, K A Review On Microstructure And Corrosion Behaviour Of RRA Treated 7075 Al Alloy” International Journal Of Scientific Research Engineering & Technology (IJSRET), ISSN 2278 – 0882 Volume 6, Issue 9, September 2017.

Sunil Kumar, K Design And Analysis Of A Turning Fixture For Oil Tank Cover MGB International Journal Of Recent Trends In Enginerring & Research , ISSN 2455 – 1457 Impact Factor :3.344.

Sunil Kumar, K Pneumatic Three Axis Modern Trailer International Journal For Research In Applied Science & Engineering Technology (IJRASET) Www.Ijraset.Com Volume 4 Issue V, May 2016 IC Value: 13.98 ISSN: 2321-9653.

Sunil Kumar, K “Design and Development of Pneumatic Sheet Metal Cutting Machine” in the International Journal of Scientific Research in Mechanical and Materials Engineering (IJSRMME), Volume 8, Issue 3, May-June-2024 DOI : https://doi.org/10.32628/IJSRMME2483 DOI: https://doi.org/10.32628/IJSRMME24831

Sunil Kumar, K “A new dimention in 3D printing” international journal of advanced research in science ,communication and technology, ISSN: 2581-9429,Volume-3,Issue 2,August 2023.

Sunil Kumar, K “Design and development of dual extruder 3d printing” international journal of advanced research in science ,communication and technology, ISSN: 2581-9429,Volume-3,Issue 2,August 2023.