Coronavirus disease 2019 (COVID-19) is an infectious disease caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The disease was first identified in 2019 in Wuhan, the capital of China's Hubei province, and has since spread globally, resulting in the ongoing 2019–20 coronavirus pandemic.

Common symptoms include fever, cough, and shortness of breath. Other symptoms may include muscle pain, sputum production, diarrhea, sore throat, loss of smell, and abdominal pain. While the majority of cases result in mild symptoms, some progress to pneumonia and multi-organ failure.

As of March 28, 2020, the overall rate of deaths per number of diagnosed cases is 4.6 percent; ranging from 0.2 percent to 15 percent according to age group and other health problems.

The virus is mainly spread during close contact and via respiratory droplets produced when people cough or sneeze. Respiratory droplets may be produced during breathing but the virus is not generally airborne. People may also contract COVID-19 by touching a contaminated surface and then their face. It is most contagious when people are symptomatic, although spread may be possible before symptoms appear. The virus can survive on surfaces for up to 72 hours. Time from exposure to onset of symptoms is generally between two and fourteen days, with an average of five days.


The standard method of diagnosis is by reverse transcription-polymerase chain reaction (rRT-PCR) from a nasopharyngeal swab. The infection can also be diagnosed from a combination of symptoms, risk factors and a chest CT scan showing features of pneumonia.

Recommended measures to prevent infection include frequent hand washing, social distancing (maintaining physical distance from others, especially from those with symptoms), covering coughs and sneezes with a tissue or inner elbow, and keeping unwashed hands away from the face. Recommendations on the use of masks vary.

Management involves the treatment of symptoms, supportive care, isolation, and experimental measures.


The World Health Organization (WHO) declared the 2019–20 coronavirus outbreak a Public Health Emergency of International Concern (PHEIC) on 30 January 2020 and a Pandemic on 11 March 2020.

Local transmission of the disease has been recorded in many countries across

all six WHO regions.


How we started



-Make a pocket lab which can help you diagnose diseases anytime, anywhere

-A Frugal Gadget which can be useful for society


-Reach Million who don’t have proper medical Facilities -Basic Design -MVP for the Indian market
METHODOLOGY: -Used already known projects, had survey over more than 150 research papers in the same area, went through the already existing patents for medical devices to act smart
-Using RaspberryPi as a programming board to simulate the code processing, for dengue diagnosis. Developed an android application UI to run the deep learning Programme in it through web-view interfaces where our python code is transformed into a web app and hosted in our server Initially we started with six diseases where the data-sets were taken from publicly available data(s) either from Github or Kaggle which acts a sea of resources for programmers.

        Software-based Solution:
AI to Help Diagnosing Disease instantly
The Diagnosis for each Disease

                Tuberculosis: Based on the input Chest X-ray Image The AI predicts whether the person is suffering from Tuberculosis or not
                Skin cancer: Based on the input image of the Skin lesion The AI predicts whether the person is suffering from any kind Of Benign or malignant Skin cancer or not
                Retinopathy: Based on the input image of the Eye Fundus The AI predicts whether the person is suffering from Diabetes or not
                Heart attack: This Comes Under Advanced Checkup based on user input in the text field The AI will predict whether the person is vulnerable to Heart Attack or not
                Breast cancer: This Comes Under Advanced Checkup based on user input in the text field The AI will predict whether the person is suffering from Breast cancer or not
                Diabetes: This Comes Under Advanced Checkup based on user input in the text field The AI will predict whether the person is Suffering for Diabetes or not


        Currently, we have built
               an advanced Symptom Predictor which can predict more than 50 different Disease in fraction seconds
          Susceptibility Checker for Covid-19 which is based on the data we knew about coronavirus on march-20-2020
         Live Coronavirus tracking map with other data taken from Datahub which runs 24/7 and fueled by JHU which stands For Johns Hopkins University dataset
            A Hospital Locator which can locate the nearest Hospital to your location with the help of Google Maps and gets all the required information on the Hospital such as Phone Number etc
            Pneumonia Detector which can detect Viral or bacterial Pneumonia based on the input X-ray Image of the Chest

        Can We Believe This Technology ??
              We just not only developed an AI-based medical diagnostic tool but got our software’s Certified and testimonials from Renowned Government Bodies
                                                   1. from IAS Commissioner of School Education

                                                   2. from CSIR-CEERI Chennai campus
                                                   3. from Airport Authority Of India

                                                                       (Chennai International Airport)

        Hardware-Based Solution
               Ø Pricking the fingertip or use a syringe to draw out the blood sample from the infected or healthy person’s body and collecting it in the plastic capillary then fixing clay along with 3D Printed seal-caps on both the ends to seal it. Finally, fix it on the disc of JUGAAD Centrifuge and start using strong and thick thread to give fast and stable spins to the circular disc until components of blood get separated.

               Ø Using the syringe draw out only the platelet sample from the capillary then aligning it on the JUGAAD Microscope and the focus the drop of blood according to the LASER Beam shooting from diode to observe contents getting dispersed in the squared screen.

               Ø Finally using a similar method of counting platelets used in a hemocytometer to count the cells on the projection-squared screen and giving the cell count for an unknown blood sample. Apart from the blood we were able to project the bacteria's on the screen and was easily identifiable with the naked eye as we don’t have access to Covid samples we don’t have an idea whether this microscope can project the viruses. As the size of viruses is really small but we believe that under modification we will be able to project the live viruses in the screen and testing going on with certain non-virulent viruses.
And with the help of computer vision, we are making this process automatic in detecting the platelets and other cell components along with.

               - With this disrupted technology one can predict 60+ diseases instantly, on the other hand, this is not only useful for the common people like us but it is also useful for Doctors, Nurses who are fresh into the Field of Medicine and Health-related diagnosis
               - This can greatly aid them simultaneously to diagnose disease for patients approaching them.
               - Based on the hardware solution we are focused on building a pocket lab that can cut the cost, reduce the time required by technicians to detect the foreign bodies yet this is not fully made into standalone hardware but restricted to Raspberry Pi and in time we will achieve it.

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