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Overview of Decision Mentor

Decision Mentor's process involves identifying preferred options, prioritizing criteria, and comparing options side-by-side. This structured approach helps users visualize decisions with prioritized criteria and options, facilitating better decision-making outcomes. The app's AI Mentor feature further supports this process by analyzing user inputs and providing relevant advice.

Key Features of Decision Mentor

• AI-Powered Guidance : Utilizes AI, specifically OpenAI’s GPT-3.5 API, to offer criteria suggestions, enhancing the decision-making process with relevant advice based on machine learning algorithms.

• Multi-Criteria Decision Making (MCDM/MCDA) : Based on the Analytic Hierarchy Process (AHP) theory by Prof. Thomas L. Saaty, providing a scientific approach to decision making by prioritizing criteria and comparing options side-by-side.

• Privacy-Focused : Ensures the privacy of users' decisions, with personal decisions visible only to the user. Public decisions can be shared on the public feed at the user's discretion.

• User-Friendly Interface : Designed to be accessible for anyone seeking assistance in making critical decisions, whether they lack advice from others or prefer to keep their decisions private.

작동 방식

Decision Mentor's process involves identifying preferred options, prioritizing criteria, and comparing options side-by-side. This structured approach helps users visualize decisions with prioritized criteria and options, facilitating better decision-making outcomes. The app's AI Mentor feature further supports this process by analyzing user inputs and providing relevant advice.