The problem SequenceME solves

In the current scenario medicines and treatment are the same for a particular disease.
Even in the times of covid19, some get recovered fast and some go into the critical situation with same level of immunity.
Still a treatment or medicine cure 50% of the patients and rest suffer.
High costs of medicines contribute to decreased access to healthcare.
About 60-90 percent of healthcare spending by poor people is on prescribed medicines which never benefited them.
Sixty per cent (499-649 million) of the population in India does not have regular access to essential medicines.
Even after a lot of expenditure, 60% of the patients fail to get the benefit for from the treatment or medicines (According to NCBI)

The root problem is a patient's body is not getting :
An accurate diagnosis of existing disease.
Targeted treatment strategies
More focused clinical monitoring

We will provide a personalized healthcare service which based on a person's own body needs using his DNA, to make them aware about their genetic risks and suggest corrective lifestyle actions in time can help in prevention and management of various health conditions to fight against virus-like covid-19 and various diseases.

We will predict the various diseases a person is prone to just using just one sample of DNA so that they can have personalized medicines and treatment.

This will also be a game-changer in the scenario like covid-19 where fast treatment is needed and our solution will predict how much a person is prone to various diseases.

We will tell the person how he/she should live a healthy lifestyle as per his own body needs. It can guide you about the modifications you can make to personalize your diet, physical activities, and health checkups to stay healthy and fit & live a happier life. It also informs you about your genetic predisposition for certain habits (addiction) so that you can prevent them.

Challenges we ran into

Our major focus was to keep the UI and tech stack of the solution simple so that it becomes fast and interactive which is challenging for us but we did use a python flask server and teamwork.
Along with that processing, a bulk of database was a great hurdle fr us but we used the concept of online learning to train huge datasets, and again deploying the application on a server with trained weights was a major roadblock for us.