# Main Advantages

#### <mark style="color:red;">Understanding Context</mark>

* One of the key features of AIYA is its ability to understand the context of communication. This means that AIYA does not just react to specific commands or requests, but also takes into account the context in which these requests were made.&#x20;
* For example, if a user talks about a recent move, AIYA can use this information to create a new context for communication, suggestions for setting up the new home, or advice for adapting to the new place.

#### <mark style="color:red;">Solving Fuzzy Tasks</mark>

* Unlike many other AIs that only work with clearly defined tasks, AIYA is capable of solving fuzzy and multifaceted tasks. This is achieved through advanced machine learning algorithms and large volumes of data, on which AIYA is trained.&#x20;
* An example could be a situation where a user expresses general dissatisfaction with their health or well-being. Instead of a direct response, AIYA analyzes various aspects of the user's life and proposes comprehensive solutions, such as changing daily routines, diet, or introducing new habits.

#### <mark style="color:red;">Personalisation</mark>&#x20;

* AIYA is developed with a focus on personalization. This means that AIYA is unique for each user. It takes into account interaction history, personal preferences, communication style, and other individual characteristics.&#x20;
* For Masha, AIYA might be a more active assistant in planning her workday, while for Petya, it might focus on helping maintain a healthy lifestyle or organizing leisure activities.

<mark style="color:red;">**Adaptation to User Needs**</mark>

* AIYA constantly adapts to changes in the user's life and needs. If the user's interests, goals, or lifestyle change, AIYA reflects these changes in its suggestions and advice.
* This is achieved through continuous collection and analysis of data on the user's interactions with AI, allowing the system to learn and become more accurate and useful for the individual over time.
