Academy CRM - AI system for the educational platform
Academy CRM is a CRM system for an educational platform. The project was developed to systematize the work of managers, collect data for analytics, improve communication with leads through AI analysis of the psychological profile of the lead based on their messages, as well as calls with them, which are transcribed and analyzed automatically using the Transkriptor API, Google Gemini API, and Open AI API.
The project features full integration with Telegram - through the web interface, messages, all attachments (images, audio, video, documents, etc.), as well as calls in Telegram through the web interface of the system with an automatic call recording function are available. Notifications for managers about messages from leads are implemented via SSE, and the chat uses WebSocket to display messages in real time.
Zoom and Google Meet are integrated into the system through their respective APIs: managers can create conferences through the system interface and schedule them using the calendar.
For lead payments for packages, integration with payment gateways has also been added: PayPlay (for creating invoices and payments in cryptocurrency), as well as WayForPay for fiat.
The main technical stack of the project: Python, Fast API, Next.js.
The project features full integration with Telegram - through the web interface, messages, all attachments (images, audio, video, documents, etc.), as well as calls in Telegram through the web interface of the system with an automatic call recording function are available. Notifications for managers about messages from leads are implemented via SSE, and the chat uses WebSocket to display messages in real time.
Zoom and Google Meet are integrated into the system through their respective APIs: managers can create conferences through the system interface and schedule them using the calendar.
For lead payments for packages, integration with payment gateways has also been added: PayPlay (for creating invoices and payments in cryptocurrency), as well as WayForPay for fiat.
The main technical stack of the project: Python, Fast API, Next.js.