Contact person: Business Client

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Location: Bengaluru, India

Budget: Recommended by industry experts

Time to start: As soon as possible

Project description:
"I need an AI-driven chatbot that lives inside my mobile app and guides users to the right products. The core job is to design, train, and integrate a natural-language model that asks a few smart questions, understands the answers, then returns tailored recommendations pulled from our existing product catalog and inventory API.

Here’s what success looks like for me:
• A lightweight, well-documented model (Python, TensorFlow, or your preferred framework) hosted so the app can call it via REST or GraphQL.
• Conversational flow files that cover greetings, preference gathering, recommendation logic, and graceful fall-backs.
• A simple demo screen in React Native or Flutter that shows the chatbot working end-to-end, ready for my team to drop into the main codebase.
• Clear instructions on retraining the model when we add new products.

If you’ve built mobile chatbots before—especially ones that personalize suggestions—I’d love to see a quick note on your approach and any live examples." (client-provided description)