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NMNeha Malhan
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Applied AI · Full-Stack · 2025

Home Services Intelligent Chatbot

Developed a full-stack chatbot for booking home services with intelligent triage, dynamic pricing, scheduling, and bilingual support.

PythonFlaskJavaScriptHTML/CSSRender

Booking flow

01Customer request
02Intelligent triage
03Dynamic pricing
04Scheduling
05Receipt + reminder

The conversational flow implemented end-to-end, from initial request through booking confirmation.

Problem / Research Question

Booking home services typically requires a back-and-forth between a customer and a service provider to triage the request, price it, and schedule it. The project explored automating that flow conversationally.

Dataset

N/A: rules- and logic-driven conversational flow rather than a trained dataset.

Methodology

  • 01Built a Flask backend to handle triage logic, dynamic pricing, and scheduling.
  • 02Built the conversational front end in JavaScript/HTML/CSS.
  • 03Added bilingual support, automated receipts, and appointment reminders.
  • 04Deployed the application on Render.

Key Findings

  • The triage-to-booking flow, including dynamic pricing and scheduling, was implemented end-to-end as a working full-stack academic project.

Limitations

  • Built and deployed as an academic project on Render; not verified in commercial production use.