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KushScan Mobile application that recognizes dry kush by photo

What is KushScan?

KushScan is a mobile application designed by a global team of experts in AI, Neural Networks, Software Development, and Design. This tool functions as a weed strain identifier, capable of analyzing photos of dry cannabis (kush) to determine its type, predict the THC potency level, and estimate the Sativa/Indica ratio. By leveraging advanced image recognition algorithms, the application provides users with insights into the cannabis they possess.

Users can employ KushScan as a mobile cannabis tester to better understand the characteristics and potential effects of a particular strain. The application predicts the strain name, strength (THC level), and provides the Sativa/Indica ratio, which can help anticipate the user's experience. After analysis, users can tap on the flower photo displayed on the probability screen to access extended information about the identified marijuana strain. Registration is required to access features like storing and editing scan history.

Features

  • Strain Identification: Recognizes cannabis strain type from a photo.
  • THC Level Prediction: Estimates the THC potency level.
  • Sativa/Indica Ratio Analysis: Determines the Sativa/Indica ratio to predict effects.
  • Extended Strain Information: Provides detailed information about identified strains.
  • Scan History: Allows registered users to store and review past scans.
  • Edit Scan Information: Permits users to edit details like Strain Name, THC level, and Sativa/Indica level after scanning.
  • Probability Display: Shows the top three algorithmically detected strains with similarity percentages.

Use Cases

  • Identifying unknown cannabis strains.
  • Estimating the potency (THC level) of dry kush.
  • Understanding the potential effects based on Sativa/Indica ratio.
  • Learning more about different marijuana strains.
  • Keeping a personal record of scanned cannabis strains.

FAQs

  • How many cannabis strains can KushScan currently identify?
    The algorithm is currently trained to recognize 20 different strains, including Cheese, Chocolope, Durban Poison, G13, Hindu Kush, Jack Herer, Lemon Haze, Northern Lights, OG Kush, Pineapple Express, AK-47, Amnesia Haze, Blue Dream, Bubble Gum, Girl Scout Cookies, Gorilla Glue, Green Crack, Pink Kush, Sour Diesel, and White Widow.
  • What are the future plans for adding more strains?
    Future plans include adding strains like Gelato, GG4, Wedding Cake, Purple Punch, Runtz, and others to the database.
  • Do I need an account to use KushScan?
    Yes, registration using a real email address is required to access features such as storing scan history and editing scan information.
  • How is my data used?
    User scan history is stored for review. The photo database helps improve the algorithm and understand user preferences. Some photos might be featured on social media.

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KushScan Uptime Monitor

Average Uptime

100%

Average Response Time

125 ms

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