Work
Academic/capstone engineering project
AI-assisted conversational commerce platform
A conversational commerce workflow combining Meta webhooks, assisted responses, human handoff and order operations.
Project status: Completed academic/capstone engineering project.
Context
The project explored how customer conversations can move through authentication, assisted handling and an order lifecycle while preserving human intervention.
Challenge
Coordinate inbound messages, application state and operational actions with a clear path for staff to take over a conversation.
Scope
- Meta webhook intake
- Authentication and role boundaries
- Assisted-response workflow
- Human handoff
- Order lifecycle
- Operational dashboards
Constraints
- Inbound events depend on the Meta platform and its webhook rules.
- Assisted responses must preserve a visible human-handoff path.
- Authentication and order states require explicit transitions.
CS Soft contribution
- Application workflow design
- Backend and webhook implementation
- Authentication flow
- Order-state handling
- Containerized deployment work
Architecture
The main components and boundaries of the documented workflow.
Meta webhooks
Application backend
PostgreSQL
Redis
Dashboard interface
Docker deployment
Delivery and QA
- Defined workflow states
- Error-case review
- Containerized environment
- Technical demonstration
Technical outcomes
- Webhook integration implemented.
- JWT authentication flow implemented.
- Human-handoff path represented in the workflow.
- Order lifecycle and dashboard views implemented.
Technologies
- React
- Python
- FastAPI
- PostgreSQL
- Redis
- Docker
Team responsibilities
- Application architecture
- Backend implementation
- Frontend implementation
- Deployment packaging
Discuss a comparable assignment
Share the business workflow, technical constraint and expected deliverable. We will state whether it fits our current scope.
Discuss the requirement