HOME DOCTOR - Monitoring Prototype

 HOME DOCTOR - Monitoring Prototype:

Monitor the health condition of the individual and share their location to Nearby hospital whenever they are in an emergency and also by Machine Learning & Neural Network Model we can get Real-Time updates, Symptoms Screening, Potential case Detection, and Frequency Asked Questions(FAQs).

In Detail: 

• The problem statement I have chosen is How AI can leverage the critical real-time updates, FAQs, Symptoms screening, and potential case detection of an individual.

• My project actually is that It is an IoT-based smart band that will monitor the patient's body temperature, blood pressure, location, heartbeat and provide us with real-time updates.

• The current prototype will share the exact location of an individual to a nearby hospital when they suddenly met with an accident or heart attack.

• For future Enhancement, I have an idea for implementing artificial intelligence and neural network models to enhance the ability of the band to improve the symptoms screening.

• I'm working on the machine learning model that will help my band to enhance the symptom detection with a certain level of accuracy and to maximize the reduction in false positives.

• The algorithm is designed to get the real-time updates from the device and process them, reduce the redundancy and analyze the past record of the patient and correlate the collected data to calculate the severity of the symptoms and priority.

• The machine learning model depends on the parameters like patient past medical records, body temperature, blood pressure along with his activity for the past 1 week.

• This machine learning module helps in potential case detection.

• We can also use an AI-based chatbot to answer the frequently asked questions (FAQ).

• This is how my solution AI can leverage the critical real-time updates, FAQs, Symptoms screening, and potential case detection of an individual.