Hariharan Balasubramanian
Tamil Nadu
Bengaluru, Karnataka
we have built an AI-based Doctor Prescription application to make it easier to read the prescription. Most of the time, the handwriting of Doctors (with due respect) is not readable and clumsy. here, we can avoid it! ...learn more
Project status: Published/In Market
Intel Technologies
Intel Python
The automated doctor voice prescription application has a conversation with the doctor, and the doctor provides information on a particular patient’s name, age, gender, symptoms, diagnosis, medication, and general advice. The processing of the text is done through NLP. After generating the data, a form is populated in the web client, and the input boxes are up for review and editing by the doctor (to correct any transcription errors, if they arise). After correction, the form is converted into PDF format and a link to this PDF is securely sent to the patient via WhatsApp or SMS.
Finally, the prescription PDF is stored in a database so that it can be stored, and retrieved in the future with ease.
Please watch the demo video.
For the front end of the web and the mobile app, React JS is used in addition to Google’s Cloud Speech (Speech to Text) API for transcriptions. As far as the backend is concerned, Node JS and Express is used and for database storing purposes Mongo DB is used.