Abdul Wahab
FAST
· 2022
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I18-0617
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Academic
Program
BSCS
CGPA
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Year
2022
Education
SEECS
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DOB
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Career
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Target role
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Skills
Python, TensorFlow, PyTorch, OpenCV, Flask, MySQL, Anaconda
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.
ForestFellow The forest fellow web application is being made, with the motivation of reducing deforestation and propagating efficient afforestation. The application provides benefits to both individual plant enthusiasts who want to do some good to our environment and to professional foresters by making their work more efficient and automated. Individuals can use the application to check the species of the plant beforehand and recommendations for plantation. On the other hand, the professionals can use the application for checking deforestation in an area or analyze growth of the forest by providing satellite images. Features include: Detecting land features in an area from satellite images Finding Specie information of plant from leaf images Detecting and visualization of deforestation in an area from satellite images Analysis and visualization of forest growth in an area from satellite images Getting plant recommendation for a specific city Technology Used: Python, TensorFlow, PyTorch, OpenCV, Flask, MySQL, Anaconda Supervisor Name: Ma’am Amna Irum Group Members: Abdul Wahab (I18-0617) Ahmer Ejaz (I18 - 0620) Kamran Ahmed (I18 - 678)
Provenance
Source file: Graduate Directory FAST School of Computing 2022 Final Version (07-06-2022).pdfFrom job #25 page 229
Created: 1778223768