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Coachee: AI-powered Life Coaching App
Coachee is a web-based AI-powered life coaching app developed for our USA-based client. Space-O Technologies developed this app that guides users through life’s challenges such as decision-making and goal-setting, supporting personal and professional growth. Coachee is a ChatGPT-like solution but for life coaching. To develop the Coachee app, we used Python, Django, React.js, PostgreSQL, and OpenAI’s GPT-4 model as a tech stack. Are you looking to develop an AI-powered app?
Client’s Requirement
The customer wanted to build a web-based AI life coach platform. An intelligent platform that understands the concerns of its users using NLP (Natural Language Processing) technology, and gives actionable solutions. As he knew the solution required understanding and expertise in advanced technologies like AI and NLP, he was looking for a top-rated AI development agency in the USA or Canada with expertise in custom AI development, training AI models, and full-stack web development.
Solution We Developed for Our Client
Coachee, an AI-powered life coaching solution that provides users with personalized guidance and actionable advice to overcome life’s challenges such as career planning, time management, health and fitness goals, relationship issues, stress management, and work-life balance. To develop this web solution, Space-O assigned a dedicated web development team to the client with an experienced AI consultant, full-stack web developers, QA, and a certified ScrumMaster.
Here are the different technologies we used to develop the Coachee application from scratch.
- For front-end development, we used React.js to develop an engaging interface for easy navigation.
- For backend development, we used Python and Django to build a strong server-side foundation and ensure the app easily manages user data, handles several processes, and scales with users.
- For database management, we used PostgreSQL to securely store user conversation histories, profiles, and preferences, allowing the app to deliver context-aware responses.
- For NLP-based conversation, we used OpenAI’s GPT-4 model to maintain a meaningful conversation with users and generate insightful follow-up questions to engage users.
Coachee App Key Features
Natural Language Understanding
Analyses and interprets user input and queries with precision to ensure precise and contextually relevant responses.
Contextual Understanding
Uses context-aware algorithms to easily adapt to the conversation’s context to maintain relevance in technical and non-technical discussions alike.
Human-like Text Generation
Uses text generation models to craft text responses that closely mimic human language, facilitating engaging and relatable conversations.
Sentiment Analysis
Evaluates the emotional tone of user input, allowing it to respond empathetically and provide appropriate emotional support when needed.
Technology Stack for Coachee App
React.js
HTML
CSS
Python
DjangoDatabase
PostgreSQLAI Model
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Bashar Anabtawi 
Canada
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