About Lunguardian

Lunguardian is a groundbreaking tool dedicated to the early detection of lung cancer. By harnessing the capabilities of sensors commonly found in wrist accessories, we've developed a cutting-edge machine learning system. This system is designed to identify signs of lung cancer in its early stages, potentially saving lives.

Tech Stack

Member

  • React native
    Front End Development
  • Python
    Machine Learning
  • HealthKit
    Sesnor Data Aqusition
  • Matlab
    Data Analysis Transformation
  • Firebase
    Database & Backend Development
  • Rodrigo Munoz
    The University of Texas at Arlington
  • Md Rashidul Alam Sami
    The University of Texas at Arlington
  • Ikechukwu Ofili
    The University of Texas at Arlington
  • Rakin Ridwan
    The University of Texas at Arlington
  • Education 1
    Something 1
  • Education 2
    Something 2
  • Education 3
    Something 3

Our Services

64%

STAGE 1 SURVIVAL RATE

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30%

STAGE 2 SURVIVAL RATE

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STAGE 3

If non-small cell lung cancer remains confined to the lung, the five-year relative survival rate is 64 percent. That rate drops to 37 percent if the cancer spreads to areas near the lung (and 8 percent if it spreads to more distant areas of the body

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Our Work

Cough Detection

Initiate a confirmation process at the first stage to ensure accurate evaluation, followed by step-by-step procedures tailored to each client's needs.

Application Interface

Generate a client-specific survey based on provided data and seamlessly transmit this information, along with relevant data, to a specialized lung cancer specialist for a comprehensive diagnosis and appropriate action.

Modeling Data

Using Matlab we can get the data from the client.

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Contact Info

mxs4122@mavs.uta.edu

682-560-5484

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