Frontend of the SaaS AI platform for digital employees (BinomAI)
The client-side (Front-end) of the innovative international SaaS platform BinomAI has been developed, designed for creating, training, and managing intelligent AI employees and digital twins for businesses.
The project is a complex multi-user web application (app.binomai.com) with a large number of interactive interfaces.
Technology stack: JavaScript / TypeScript, React.js, State Management (Redux Toolkit / Context), REST API, WebSockets / SSE (Server-Sent Events).
What has been implemented within the project:
1. Interactive AI Chats (Smart Chat Interfaces): Development of chat interfaces for real-time interaction with neural networks. Implementation of smooth AI response output (streaming effect), dialogue context processing, message history, and custom control elements (product cards, media files within the chat).
2. User Personal Dashboards (Advanced User Dashboards): Design and implementation of client (entrepreneur) dashboards, where the logic for configuring AI agents, connecting knowledge bases, integrating with messengers, and viewing internal analytics is realized.
3. State Management and Optimization: Building the architecture of the Front-end part on a modular principle, ensuring fast loading of large interfaces and stable operation with dynamic data from dozens of neural networks.
#React/TypeScript #sass #Artificial #Intelligence #AI
#AI Chatbot #Dashboard
The project is a complex multi-user web application (app.binomai.com) with a large number of interactive interfaces.
Technology stack: JavaScript / TypeScript, React.js, State Management (Redux Toolkit / Context), REST API, WebSockets / SSE (Server-Sent Events).
What has been implemented within the project:
1. Interactive AI Chats (Smart Chat Interfaces): Development of chat interfaces for real-time interaction with neural networks. Implementation of smooth AI response output (streaming effect), dialogue context processing, message history, and custom control elements (product cards, media files within the chat).
2. User Personal Dashboards (Advanced User Dashboards): Design and implementation of client (entrepreneur) dashboards, where the logic for configuring AI agents, connecting knowledge bases, integrating with messengers, and viewing internal analytics is realized.
3. State Management and Optimization: Building the architecture of the Front-end part on a modular principle, ensuring fast loading of large interfaces and stable operation with dynamic data from dozens of neural networks.
#React/TypeScript #sass #Artificial #Intelligence #AI
#AI Chatbot #Dashboard
Ukraine 
Available for hire
Offer work