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Muhammad Nauman

FAST · 2021 · i17 - 0079

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Phone

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GitHub

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Academic

Program

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CGPA

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Year

2021

Education

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Address

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DOB

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Career

Current role

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Target role

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Skills

Android Studio, React Native, JavaScript, Python, Tensorflow, Keras

Interests / quote

HemaRays aims to bring a non-invasive approach that removes factors of blood tests and provide patients with a reliable, cost effective. anywhere available mobile application.This mobile application uses the phone's built-in flashlight and camera unit to detect colour absorption, it uses the absorption of different colours and light to detect the PPG signal.The user simply places a finger on the flashlight and camera lens, making a solid contact, and user presses the record button and app uses the flashlight and camera of the phone to record a video to detect specific features that point to the amount of hemoglobin levels in user’s body.

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.

HemaRays 
In hospitals everywhere , patients with disorders require frequent blood draws.In case of leukemia 
or anemia , doctors are interested in measuring hemoglobin levels in a patient's body. To obtain 
such measurement , medical personnel use invasive approaches such as intravenous lines , or 
specialised machines that draws out blood and measures hemoglobin levels.HemaRays aims to 
bring a non-invasive approach that removes factors of blood tests and provide patients with a 
reliable, cost effective. anywhere available mobile application.This mobile application uses the 
phone's built-in flashlight and camera unit to detect colour absorption, it uses the absorption of 
different colours and light to detect the PPG signal.The user simply places a finger on the flashlight 
and camera lens, making a solid contact, and user presses the record button and app uses the 
flashlight and camera of the phone to record a video to detect specific features that point to the 
amount of hemoglobin levels in user’s body. 
 
 
 
 
 
 
 
 
 
 
 
Technology Used: 
Android Studio,React Native,  
JavaScript, Python, Tensorflow, Keras 
Supervisor Name: 
Dr. Kifayat Alizai 
Group Members:   
Asfandyar Barki (i17-0202) 
Zarak Mahsud (i17 - 0515) 
                                                                                                                       Muhammad Nauman (i17 - 0079)

AI enrichment

Muhammad Nauman is a student who contributed to HemaRays, a mobile application designed to non-invasively measure hemoglobin levels using smartphone cameras and machine learning. The project involved developing an Android/React Native app with Python and TensorFlow to analyze PPG signals for health monitoring.

Skills (AI)

["Android Studio", "React Native", "JavaScript", "Python", "TensorFlow", "Keras", "Mobile Application Development", "Machine Learning"]

Status: ai_done

Provenance

Source file: Graduate Directory FAST School of Computing 2021 (1st Final) (1).pdf
From job #24 page 215
Created: 1778144159