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Leaf.ai App

An intelligent plant disease scanner backed with a machine learning model

Description

Using cutting-edge AI algorithms, Leaf.ai empowers farmers to detect and diagnose plant diseases with unparalleled accuracy and speed. By simply capturing images of their crops, farmers can receive instant feedback on the health of their plants, enabling them to take timely and informed actions to protect their yields.

Scope

The project's context revolves around our participation in the annual 'FEECRA' salon held at the Universiapolis campus in Agadir in May 2023. This event serves as a platform for showcasing innovative projects and ideas. Our project, Leaf.ai, was selected as the centerpiece for our stand at the salon. We proudly presented an intelligent plant disease scanner, developed using cutting-edge technologies. This outstanding project earned us the prestigious prize for the best salon stand, reflecting our dedication to innovation and excellence in the field.

Role

In the development of Leaf.ai, my role as a fullstack developer was integral to the project's success. I collaborated within a multidisciplinary team, which included experts in data science, marketing, and web development. Together, we harnessed our diverse skill sets and knowledge to create a powerful and user-friendly tool. Leaf.ai is a testament to our effective teamwork, as we worked seamlessly to make people's lives easier by delivering an intelligent plant disease scanner that leverages advanced technologies and innovative solutions.

Persona

  • Farmers: They can quickly detect and identify plant diseases, enabling timely interventions to protect their harvests.
  • Agronomists: They can analyze disease patterns and offer tailored advice for disease management and crop optimization.
  • Researchers: Researchers can collect data from the app to study disease outbreaks, track trends, and develop new strategies for disease prevention and control.
  • Hobby Gardeners: to diagnose and treat diseases in their gardens and home-grown plants.
  • Agricultural Extension Services: can leverage Leaf.ai to disseminate information to farmers and support disease monitoring and prevention programs.
  • Educational Institutions: can be employed as an educational tool in agricultural institutions and universities

    • UI interfaces

    Image 0
    Image 1

    Technologies & tools

    • React.js
    • TensorFlow
    • Python
    • FastAPI
    • PyCharm
    • Jupyter.N
    • VSC
    • Github
    • Pandas

    Links & ressources

    https://github.com/ImaneIK/leafaihttps://leafai.vercel.app/