Solution Hub is an AI-powered platform designed to centralize and analyze user inquiries coming from multiple support channels.
The goal is to reduce repetitive questions, speed up response time, and support employees with a unified, intelligent solution library.
Support teams often receive the same questions repeatedly across different channels (chat, social media, call centers).
At the same time, users experience delayed responses and inconsistent answers.
Solution Hub aggregates all user inquiries into a single platform where AI:
- Detects repeated questions using clustering
- Groups similar inquiries into one issue
- Generates draft solutions using AI
- Allows employees to approve solutions into a trusted knowledge base
- Automatically responds to users based on approved solutions
This creates a smart, reliable, and scalable support experience.
- Centralized inquiry collection from multiple channels
- AI-based clustering and issue detection
- Approved solution library
- Intelligent chatbot responses
- Analytics dashboard for trends and insights
- Reduced response time and escalations
- Hybrid Model: Clustering + Large Language Models (LLMs)
- Identifies repeated issues even if phrased differently
- Generates solutions based on historical and approved data
- Continuously improves with more data
- Backend: Python (Django)
- Frontend: HTML, CSS, JavaScript
- AI & NLP: LLMs, Clustering techniques
- Data Format: JSON
- Tools: GitHub, VS Code
- Faster response time for users
- Reduced workload for employees
- Unified and consistent solutions
- Better decision-making through analytics
This project was developed during Abshir Hackathon by Tuwaiq Academy, focusing on innovation in digital government services.