Contact person: Business Client

Phone:Show

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Location: muzafanagar, India

Budget: Recommended by industry experts

Time to start: As soon as possible

Project description:
"I’m building a mobile app that needs an intelligent, conversation-driven AI assistant. The core of the project is a natural language processing chatbot that can understand user intent, maintain context, and reply in real time inside the app’s iOS and Android builds.

Here’s what I’m after:
• A production-ready NLP model (you’re free to leverage Dialogflow, Rasa, LLM APIs such as OpenAI, or a custom TensorFlow/PyTorch pipeline) tuned for our domain vocabulary.
• A clean, well-documented REST or WebSocket interface so the mobile team can call the bot from Swift/Kotlin with minimal latency.
• Basic analytics hooks (message logs and intent recognition stats) so we can keep improving responses after launch.
• Deployment to a scalable cloud environment—AWS, GCP, or Azure—complete with security best practices.

Acceptance criteria
1. The chatbot correctly handles at least 90 % of the top 50 user intents we’ll supply during testing.
2. Average round-trip response time is under 800 ms on a 4G connection.
3. Handover to human support is triggered gracefully when confidence drops below a threshold we can configure.
4. All code, trained weights, and infrastructure scripts are delivered in a private repo with clear README instructions.

If you’ve previously shipped conversational AI into a mobile product and can demonstrate it, let’s talk timelines and milestones." (client-provided description)