One To Doc is a healthcare management application in which users can enter into the application and set appointments with healthcare experts for advices and checkups. The application has its main utilities in a single dynamic page for ease of access. The application has a symptom checker and report generation mechanism where the user can pre-empt his/her symptoms and get a report generated on the same. The user can then use this report to book an appointment and get the appropriate care. This will help the doctors getting a better understanding of the users and helping them in a much more cohesive way, increasing speed and efficiency. The application also provides the utility of getting prescriptions and payments in a single platform where he/she can check both his/her previous and current prescriptions and can manage payments, thus creating a fully independent self-health solution. The application also has a feature where a user can get into a community with other users and healthcare experts for instant appointments, chats, and payments. This will help in creating a larger platform for healthcare solutions and better response times.

Our application , apart from being a fully independent application, has an edge over other solutions in the following ways:-

1. Creation of a fully functional community of people ready to help each other anytime.
2. Generation of reports which can be used for getting further medical attention both within the application and beyond.
3. Generation of reports and pre-emption of symptoms helps in generating a more clear picture in the mind of the expert and can help him in giving better advices to users.
4. Advanced Queue Management
5. Review System for doctors

1. Multi Language support for ease of use for the users.
2. Creation of a mobile application for the same to get better user coverage.
3. Introduction of Use-Reward system for attracting more users towards the application.
4. Fully converting the application into MERN.

1. Data security of the users and the experts is a challenge as we need to constantly evolve to handle more difficult threats such as cross site scripting and forgery.
2. Verification of both experts and users is a must for protecting patient confidentiality.

1. Pranjal Srivastava - LinkedIn GitHub
2. Ramankur Goswami - LinkedIn GitHub
3. Shivam Purohit - LinkedIn GitHub