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Full Stack / AI Integration

2025

AI Customer Support Management System

AI-powered customer support chatbot

Multi-service backend integration

Customer request management workflow

REST API communication between services

Database-driven user and support records

Dockerized development environment

AI Customer Support Management System interface preview

The problem

Customer support teams often handle repetitive inquiries manually, increasing response time and reducing efficiency. Traditional support systems may lack intelligent assistance, requiring staff to repeatedly answer similar questions instead of focusing on complex customer issues.

The solution

I developed a multi-service customer support platform integrating a web application, backend APIs, and an AI chatbot service. The system separates business logic and machine learning components into independent services, allowing customer requests and chatbot interactions to be handled efficiently while supporting containerized deployment using Docker.

System flow

How it works

User Interface
Django Application
Spring Boot Service
Flask AI Service
Machine Learning Model
Database

Tech stack

HTML CSS JavaScript Django Python Flask Spring Boot Java PostgreSQL Machine Learning NLP Docker Docker Compose

Research References

What influenced this project