Masood Ahmad
FAST
· 2022
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I18-0755
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Academic
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Year
2022
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Skills
Kaggle, python, android studio, Tensorflow, java
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PlanteafX PlanteafX is an automatic plant leaf disease detection system in which you just have to take the picture of the diseased area of your plant from your gallery as well as from your camera. Then you just have to tap on the predict button and our state-of-the-art pre trained model will predict the disease of the plant. Features include: -Our app can predict the diseases of Apple, Orange, Wheat, rice, jamun, lemon, potato, Tomato, Mango and many more species as well. -Our app can predict the disease within seconds so that timely precautionary measures can be taken to prevent the spread of disease. -Our app’s interface is easy to use and user friendly such that anyone can use it. Technology Used: Kaggle, python, android studio, Tensorflow, java Supervisor Name: Dr. Labiba Fahad Group Members: Masood Ahmad (I18- 0755)
Provenance
Source file: Graduate Directory FAST School of Computing 2022 Final Version (07-06-2022).pdfFrom job #25 page 253
Created: 1778226154