Fake Soft Drinks Detector using IOT
C Singaraj1, M Venu Gopal2, M Venkatesh3, Ks Vigneshwar4, V. Kalaivani5
1C. Singaraj, Computer Science and Engineering, National Engineering College, Kovilpatti. M. Venu Gopal , Computer Science and Engineering, National Engineering College, Kovilpatti.
2M. Venkatesh , Computer Science and Engineering, National Engineering College, Kovilpatti.
3K S.Vigneshwar , Computer Science and Engineering, National Engineering College, Kovilpatti.
4Dr.V.Kalaivani, Professor of Computer Science and Engineering, National Engineering College, Kovilpatti.
Manuscript received on March 12, 2020. | Revised Manuscript received on March 26, 2020. | Manuscript published on March 30, 2020. | PP: 4866-4869 | Volume-8 Issue-6, March 2020. | Retrieval Number: F8399038620/2020©BEIESP | DOI: 10.35940/ijrte.F8399.038620
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: In a market, a lot of soft drinks are available, and to get more profit, the organizations sell the lapsed soft drinks, by basically changing the expiry date. For recognizing the lapsed soft drinks we can utilize the Fake Soft beverages finder by estimating the PH estimation of the Soft beverages. It assists with staying away from human medical problems like kidney issues, stomach torment. It is useful for ordinary citizens who expend soft drinks routinely. It can identify synthetic or profoundly harmed lethal substances included soft drinks. Right now, counterfeit soft drinks are identified utilizing PH esteem.
Keywords: IOT, pesticide, soft drinks.
Scope of the Article: IoT.