An NLP Framework to Detect Ailment based on Summary of Patient Symptoms Supporting Multilinguality for Rural Area

India is home to approximately 1.4 billion people, has a diverse mixture of both urban and rural regions. Compared to the medical development in the urban sector, the rural sector is trailing behind by a lot. The advancement of technology in the 21st century has brought various sectors close to one another. With the help of this technology, we can bridge the gap between the two sectors in the medical domain. The medical sector is a sector that requires human intervention irrespective of however advance the technology has become. To have a balanced amount of technology and human mediation and to utilize both their knowledge efficiently and feasibly, we have come up with a solution that integrates both these aspects and tries to give the best possible accurate solution. Our module gives a probable detection of ailment based on symptoms which helps speed up doctor’s analysis. It also takes into consideration, the diversity of languages that India has, and it takes care that the communication with the patient is in a language that he/she understands. Sentiment Analysis is also performed to detect mental health issues among rural areas to create more awareness and to create normalcy regarding the same.