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AI Life Coach Platform

Company overview

A Switzerland-based company focused on leveraging AI to create innovative digital solutions.

Project overview

The primary objective of this project is to develop a mobile application with deep AI integration. The AI will act as a personal assistant and coach, helping users achieve their goals in various life areas by setting the right objectives and forming daily habits. The AI interaction is based on Chat GPT algorithms and daily communication with the personal assistant.
The system includes well-designed dialogues and reminders.

The project involves the following key features:

Mobile Application
AI Integration
User Interaction
Community Features
Video Calls and Conferences
Future Integration
Developed using Flutter for both iOS and Android platforms.
The AI acts as a personal assistant and coach, guiding users through goal setting and habit formation.
The application includes a system of dialogues and reminders to ensure continuous engagement.
During development, the client requested the addition of user interaction features to increase engagement. This includes communication between users with similar interests and sharing achievements for better motivation.
As a result, video call and conference capabilities were added to the application.
The application will later be integrated into an ecosystem of several web and mobile applications focused on personal growth.

Business Objectives

Primary Audience
The initial target audience is individuals seeking personal development and goal achievement.
AI-Driven Coaching
By leveraging AI, the application aims to provide personalized coaching and assistance to users.
Community Building
The addition of user interaction features aims to build a strong, engaged community around shared interests and goals.
Revenue Generation
Through the integration of various features, the application aims to generate revenue while providing value to its users.

The development process consisted of these stages

#1
Our developers presented a technical solution and prepared the proof of concept.
#2
Our analytics created the specification of software requirements.
#3
When the client accepted the solution, our developers successfully implemented it and delivered it to the customer’s servers.

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