Debug the project in Python, connect the front and back end, and implement memory for the LLM model
276 USD ### 1. Technology Stack
Frontend (src directory):
- React 18
- TypeScript
- Vite (deployed only as static)
- Tailwind CSS
- MUI (Material UI)
- Radix UI (UI components)
- React Router
- Socket.IO Client
- i18next (localization)
- Framer Motion (animations)
Backend (server directory):
- Python (Flask)
- PostgreSQL
- Celery + Redis (asynchronous tasks)
- Gunicorn (server)
- Socket.IO (real-time events)
- JWT (authentication)
- WebRTC (for voice communication through browser)
- WebSocket API (for server and external integrations)
- Integration with OpenAI API (gpt-4o-MINI-realtime-preview)
- DodoPayments (payments)
- Migrations, models, business logic, routes, middleware
Task:
Debug the project, verify the payment system operation, and implement product delivery after successful payment. Implement memory for the gpt-4o-MINI-realtime-preview model working via
- WebRTC (for voice communication through browser) (implemented)
- WebSocket API (for server and external integrations) (needs to be implemented)
Add Google Calendar integration
And synchronize the frontend with the backend.
MOST IMPORTANT, DEADLINES!
If you complete this task, you will receive a permanent position in a company developing AI assistants.
-
7 days276 USD
178 7 days276 USD
Hello Alexey!
I am ready to take on the task — I have experience with a similar stack: Flask + React, WebSocket, integrations with OpenAI and payment systems. I will quickly handle debugging, set up product delivery, memory for GPT, integration with Google Calendar, and WebSocket API. I can start immediately, deadlines are negotiable — I estimate 5–7 days. Interested in long-term cooperation.
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