Consigliere
Consigliere is designed to optimize the way CEOs, Doctors, Lawyers and other busy people spend their time looking at emails. the app smartly sorts emails into prioritized categories: Important Mails, Deadline and Action Required Mails, Invitation to events etc. So users can immediately see what requires their attention. By highlighting the essentials, Consigliere helps users save valuable time, increase productivity, and stay focused without being overwhelmed by email clutter. We use llama-3-70b-instruct for Ranking, summarization and Classifying Data the Email into categories such as Top Important Mails for Doctor will be classified as follows: Deadlines and Action Required Mails Invitations to Events, Internal Updates, Informational Mails. We use OAuth and Python for Email Authentication We used Nodejs for FrontEnd and calling the API from WatsonX
Category tags:
"Excellent analysis of the use of the tool and the technology to build the model. Well done! This is a unique solution considering your approach and target consumer. I especially like how detailed you are with your analysis from financial gain for organizations with how much it costs for 3 emails. "
Ellie Braham
"Seems like a great tool for productivity, a little more advanced uses would be better. Great project"
Shebagi Mitra
Technical Mentor
"Excellent presentation. Explains that Llama3 model, as tests with IBM Granite proved inadequate. Github confirms using Llama3 model only, no use of IBM Granite models. Business value apparent for example job roles. Categorizing emails common."
Tony Pearson
Software Technical Advisor
"Great job, team Consigliere. This is certainly a great tool to help busy people stay up to date with their emails and be more productive. Good luck!"
Paulo Almeida
Grants Manager
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