FlowCare AI

FlowCare AI is a Customer Care Bot for AI-powered support automation.

What It Does

FlowCare AI turns one customer message into a full support workflow:

• Understands the customer issue
• Accepts typed complaints and sample customer scenarios
• Supports English and Hindi + English replies
• Handles delivery, refund/billing, delivery date changes, damaged product, wrong order, cancellation, login, technical, sales, and general support cases
• Detects sentiment and urgency
• Sets priority and SLA
• Suggests a polite support response
• Generates ticket details
• Creates an agent handoff brief
• Adds tickets to a CRM-style dashboard
• Lets admins edit knowledge-base policy replies
• Downloads a case report

Why This Project Is Strong

The project is easy for judges to understand because the demo shows the full workflow on one screen:

1. Customer sends a complaint.
2. AI detects the problem and urgency.
3. Support team gets the reply, ticket, and next action.

It solves a real business problem: faster and more consistent customer support.

AI Workflow

1. Understand: detect issue type, language, sentiment, urgency, and confidence.
2. Decide: choose SLA, support owner, response policy, and escalation path.
3. Act: draft reply, create ticket, generate report, and prepare handoff notes.

Business Impact

• Faster first responses
• Less manual support triage
• Better SLA prioritization
• More consistent customer care
• Useful for small businesses that need affordable support automation

Demo Flow

Open index.html in a browser, or use the local server if one is running.

Live Demo

Open FlowCare AI

Demo Video

Watch the demo video

Recommended demo:

1. Click Late delivery.
2. Click Analyze.
3. Explain the AI result panel: intent, sentiment, priority, SLA.
4. Click Create Ticket.
5. Show the CRM dashboard ticket.
6. Switch to Hindi + English and try the Hindi sample.
7. Edit a policy in the admin knowledge base.
8. Click Download Report.
9. Click Project Brief for a shareable project summary.

Tech Stack

• HTML
• CSS
• JavaScript
• Local explainable AI-style matching logic
• Secure backend-ready API design for real LLM integration

Future Scope

• OpenAI-powered natural language responses through a backend API
• WhatsApp/email support channels
• CRM and helpdesk integrations
• Shipping and payment API automation
• More languages through a backend/mobile app