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The inspiration behind this project is GOAL 3 of 17 United Nations Sustainable Development Good Health and Well-Being
aiming that Good health is essential for sustainable development.
- Our parent’s most precious gift is our GENETIC MAKE-UP, so its important to take good care of it. As of today most of the older and some younger generations are suffering from genetic diseases like
diabetes, thyroid, migraine, blood pressure, heart diseases
and many more that they are least aware of it. So, it is important to make them aware of how prone they are to certain diseases and what precautions they can take to curb it from getting worsen. - Today there is a large population including all age groups taking medicines on a regular basis for some or the other genetic or infectious diseases. So, taking medicines punctually is very important as many of us often forget to take or give medicines on time. This inspired us to include the feature of
Setting Reminders
in our applications that can notify our users and help them take good care of themselves as well as those around them.
- We aim to giving information to people genetic makeup using NCBI Blast to list the nucleodites patterns found using matching algorithm.
- We also aim to help our users to
set reminders for their parents and grandparents
living far from them to take medicine or to visit a doctor for regular checkups. - We also aim to help people to know to what extent they are probable to have some most common genetic diseases like
diabetes, thyroid, migraine, congenital heart disease, thalassemia, and rheumatoid arthritis
that their ancestors might have and are passed to them based on the symptoms they have.
NOTE: Disease Statistics Data for project is collected from Official Indian Goverment Website .
- We also aim to make people aware of some
offline do’s and don'ts for some common most prevaling diseases
and what medication they should follow.
- The user may get detailed analysis of expected values and actual values of the traits based on prediction from the older generation.
- It is also possible to predict the future generation possibility upto 50% based on single parent predicted data.
- The user can have detailed analysis of the DNA providing information about the proteins and mutations occurred in DNA.
- The in app google search can be used to query the users doubts.
- The user is provided some common remedies and medication based on diseases predicted.
- It also includes other common diseases apart from genetic diseases like flu, asthma, conjunctivitis etc.
- The user can set reminders for their family members which will help the user to keep his family members updated for daily tasks such as eating medicine on time, doctor appointments etc.
- Providing the user facility to genetic makeup(nucleotides specifically) in their DNA through their RAW DNA DATA samples and by performing BLAST operation. We have also provided Google Search within the application for the user to know more about certain proteins found in their DNA sample.
- Providing features of
Predective Analysis
of Family tree through which users may know genetic diseases they have inherited from their ancestors and how probable their next generation is to any specific disease. - Providing features of
Match Symptoms
is to help our users to recognize, to what extent they are prone to certain common diseases based on the symptoms they observe. The probability, that a trait is inherited, is shown as the expected value while the true value for a particular trait is shown as the actual value within the application. - Providing features of
Set Reminder
, helps our users to set reminders for their parents or grandparents living far from them and even for themselves to take medicine or to visit a doctor for regular checkups. It also provides functionality to call or message on receiving the reminder. - Providing features of
Common Diseases Remidies and Medications
for the user to make them aware of some do’s and don'ts related to some common diseases and what medication they should take at that time.
This project is maintained by @Akshit6828 and @Amisha328 with ❤️.