The Challenge
The client wanted to bring AI-powered automation to the education industry — specifically a platform where users could build their own chatbots, train them with custom knowledge, and interact with them in over a hundred languages. The multilingual requirement and the need for user-trainable models presented significant technical complexity.
Our Solution
We built RAFIQ using React.js for an intuitive frontend where users design and manage their bots, backed by Python and FastAPI for high-throughput AI processing. The platform integrates a vector database for knowledge storage and retrieval, enabling users to upload domain-specific content and have their bots learn from it. Language translation layers handle 100+ language interactions in real time.
Key Results
- Supports over 100 languages for queries and responses
- Users can create and train custom bots with their own knowledge bases
- Sub-second response times achieved via FastAPI and async processing
- Vector database enables accurate, context-aware answers from uploaded content
- Scalable architecture supports growing user base and bot count
Engineered With
Aesthetics & Function
What Was Delivered
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