Around five million people die every year, almost a third of them in India (1.6 million) due to inadequate healthcare, said a new analysis published in The Lancet.
Exploring the capabilities of artificial intelligence & its potential use Cases for Healthcare Management.
Too many patients in the government hospitals in the queue line leads to less priority given to the patients which are serious, needs urgent consultation.
Many time we see doctors are on leave due to family emergency or other reasons which leads to suffering and fear among needy people.
Lack of experience lead to wrong diagnosis.
WHAT WE ARE DOING-OBJECTIVE-1
Creating an expert system using expert knowledge base by consulting experience doctors and medical staffs in their respective fields.
Leveraging large language models and Generative Ai to handle patient queries, accurate initial diagnosis and handling priorities of urgent patients when queue is long through an self assessment web based online application with attractive GUI.
The feedback after the consultation will be stored in vectorDB.

Text Chunking: The extracted text is divided into smaller chunks that can be processed effectively.

Language Model: The application utilizes a language model to generate vector representations (embeddings) of the text chunks.
Similarity Matching and Context Fetching : When the patient inputs their health query to the system, our system will compares it with the text chunks and identifies the most semantically similar ones.
Response Generation: The selected chunks are passed to the language model, which generates a response based on the relevant content of the Knowledge Base.

WHAT WE ARE DOING-OBJECTIVE-2

Enhanced Disease Detection and Classification through Neural Networks.
Creating an python/web based GUI application to predict and classify disease by uploading patients reports ,X-ray analysis etc.
Using Neural network, CNN algorithm to train model and predict accurate result .