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ShroomScan is a cutting-edge mobile application engineered to revolutionize the way individuals identify and categorize mushrooms based on their edibility and potential toxicity

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Capstone-ShroomScan

Within each mushroom, there is a natural wonder and a richness of flavor!

ShroomScan is a cutting-edge mobile application engineered to revolutionize the way individuals identify and categorize mushrooms based on their edibility and potential toxicity. By harnessing the power of state-of-the-art image recognition algorithms and machine learning technologies, ShroomScan offers users a seamless and reliable solution for analyzing mushrooms in real-time. The application boasts a vast and meticulously curated database comprising a wide array of mushroom species, encompassing both edible delicacies and potentially harmful varieties.

The application prioritizes user safety and awareness, aiming to mitigate the risks associated with mushroom foraging and consumption. Whether embarking on a hiking adventure, exploring the wilderness, or simply foraging for wild mushrooms, ShroomScan equips users with the knowledge and tools necessary to make informed decisions about the mushrooms they encounter.

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The documentation of ShroomScan application in Bangkit Capstone Project 2024 Slide 16_9 - 2

Demo-Aplication

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Capstone Project Team:

Name Bangkit-ID GitHub LinkedIn
Mohammad Zaki Ibnu Marhaban C335D4KY0343 GitHUb -
Muhamad Fadillah C193D4KY1041 GitHUb LinkedIn
Susi Susilawati M335D4KX1629 - -
Faraj Azhar Maulana M007D4KY1754 - -
Rafif Ramadan M007D4KY2234 GitHub LinkedIn
Rafi Fadhila Ramadhani A193D4KY3796 - -
Reyhan Afif Fahri A490D4KY4271 GitHUb LinkedIn

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ShroomScan is a cutting-edge mobile application engineered to revolutionize the way individuals identify and categorize mushrooms based on their edibility and potential toxicity

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