Muhammad Zargham Masood · imagine-talent

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Academic

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Year

2022

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Career

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Skills

Kaggle, python, android studio, Tensorflow, java

Verbatim text

The exact text the LLM saw on the page (or the booklet text from the old import). This is what powers semantic search.

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) 
Haseeb Ahmad (I18- 1579) 
Muhammad Zargham Masood (I18- 0464)

AI enrichment

Muhammad Zargham Masood is a student who contributed to PlanteafX, an Android application for automatic plant leaf disease detection using pre-trained TensorFlow models. The project involved integrating computer vision capabilities into a user-friendly interface to identify diseases across various plant species.

Skills (AI)

["Python", "TensorFlow", "Android Studio", "Java", "Computer Vision", "Machine Learning"]

Status: ai_done

Provenance

Source file: Graduate Directory FAST School of Computing 2022 Final Version (07-06-2022).pdf
From job #25 page 253
Created: 1778150711