Inspiration - Inaccurate decisions across Industries especially healthcare where lack of tailored treatment plans is a major challenge especially with the availability of historical data for that Industry.
What it does - A Prescriptive AI Model that generates Prescriptive actionable insights using a Generative AI model that delivers output in text and images.
How I built it - I am still building it, I used a Decision Intelligence algorithm in Python as proof of concept to train the models. Bedrock handles the generative AI. Braket a quantum machine handles the logical processing of data for Decision Intelligence delivery.
Challenges I ran into - A lot, I am the visioneer and a software engineer. It's a big project and am currently the only one handling it. I am using Resources on a shared AWS account - Cuzradio. Getting data is challenging since we'd need to conduct pilot programs with target Industries to get access to relevant data for our model.
Accomplishments that I'm proud of - I have setup for the project on White paper, I have quite a broad scope of the project although I know it will broaden, AWS Resources, proof of concept - python script, Pitch Deck, Business Plan, Website.
What I learned - I have got an exposee into core AWS core services across machine learning, quantum computing, web application, where I got to use Amplify Backend and Cognito users to deploy my frontend and Cognito users respectively. I got to use Bedrock - Generative AI, Braket Quantum processing - Decision Intelligence, API Gateway to invoke my Lambda functions, DynamoDb to save user data, Lambda functions. I learnt how to put these services together to come up with a product.
What's next for OptimAI Decision Hub - Funding , Pilot programs, Prototype then Actual product.
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