Abstract:
As the vaccination process has commenced in all parts of the world, a need has risen to keep a check on the impacts of all the vaccinations. It has been noticed that each vaccine has different impacts on people of different age groups. A vaccine that proved successful on an individual of a certain age had negative impacts on the person of another age group. Therefore, this issue has been solved by COVAC app which is aimed to provide proper analysis of every vaccine through proper valid data and success rates along with its impacts on people of every age group. Moreover, COVAC also helps the general public in choosing a suitable vaccine according to their age group and certain medical information. COVAC is to be provided to the vaccination centers for the use by medical staff first and is made available for the general public for their use. It not only improves the quality of the vaccination and make it efficient and effective but also quick. It has been noticed that many people have not decided whether they want to get vaccinated or not because of their fears about the products or chemicals being used in the vaccines. COVAC helps those people as well and so the threat of the spread of COVID can be reduced to a considerable amount. To achieve this goal, we have trained the application using machine learning and provide it with necessary data sets so that it is able to recommend a vaccine that is more suitable for the person and has less side effects and more positive impacts. The post-vaccination symptoms are recorded and stored in the database which will keep the data updated and hence keep improving the results as well as provide updated information about the vaccination impacts to the medical teams and vaccination centers.
