LifeStream AI

LifeStream AI

We are trying to build a web app that mainly focuses on decentralizing healthcare resources rather than the conventional centralized models and facilities in an efficient manner.

The problem LifeStream AI solves

LIFESTREAM AI IS A PROGRAM TO REVOLUTIONIZE
THE HEALTHCARE SECTOR WITH DECENTRALIZATION
AND AI PREDICTED ALLOCATION OF HEALTHCARE
RESOURCES
MAJOR SERVICES PROVIDED

  1. AI-BASED BLOOD REQUIREMENT PREDICTION.
  2. AI-BASED BLOOD DONOR PREDICTION
  3. BLOOD INVENTORY MANAGEMENT SYSTEM
  4. DECENTRALIZED APPOINTMENT OF DOCTORS ON PREDICTION OF PATIENTS
  5. BLOOD SUPPLY MANAGEMENT
  6. AMBULANCE LOCATION ALLOCATION BASED ON ACCIDENT-PRONE
    AREAS PREDICTED BY AI.
    BLOOD DONOR PREDICTION:
    LIFESTREAM AI USES THE DATA FROM PREVIOUS
    BLOOD DONATION CAMP AND USES THEIR AGE
    GENDER NUMBER OF TIMES BLOOD DONATED TO
    PREDICT THEIR POSSIBILITY TO DONATE BLOOD
    IN THE FUTURE.
    BLOOD REQUIREMENT PREDICTION:
    LIFESTREAM AI PROVIDED BLOOD
    REQUIREMENT BASED ON CHANGING REAL-LIFE SITUATIONS
    BLOOD SUPPLY MANAGEMENT:
    Uses data from blood INVENTORY to provide the point where blood needs
    to be transported
    DECENTRALIZATION OF DOCTORS:
    LIFESTREAM AI ALLOWS THE DECENTRALIZATION
    AND APPOINTMENT OF DOCTORS TO VARIOUS HOSPITALS BASED ON THEIR REQUIREMENTS BASED
    ON THE NUMBER OF ACCIDENTS PREDICTED BY AI.

Challenges we ran into

  1. First challenge we ran into was the unavailability of Google Geolocation API so as a solution we surfed through the web to find relevant APIs and finally used Bing Location API.
  2. Secondly, we didn't have sufficient model data to train the AI. The data we used is random and somewhat inaacurate.

Discussion