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I want to build an AI as a Customer Support for my project

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(@ricardopepito)
Posts: 2
New Member
Topic starter
 

I am currently working on a project prototype of a Hotel Booking application with AI as its Customer Service. The problem is I have very limited knowledge about Coding and AI. Is there someone willing to help me for a % equity? 

This topic was modified 1 day ago by Ricardo Pepito Jr
 
Posted : 11/21/2024 7:19 am
Hasan Aboul Hasan
(@admin)
Posts: 1257
Member Admin
 

Can you explain more about what the project is ? I have a video on doing this with no code, will be published soon.

 
Posted : 11/21/2024 7:26 pm
(@ricardopepito)
Posts: 2
New Member
Topic starter
 

Project Overview

We are building an AI-powered hotel booking platform aimed at revolutionizing how customers book hotels by offering personalized recommendations and real-time, dynamic pricing. The platform integrates advanced AI algorithms to predict pricing, recommend hotels based on user preferences, and provide smart customer support.

Core AI Features

  1. Dynamic Pricing System:

    • Objective: Create an AI-driven pricing engine for dynamic room rate adjustments.

    • Details:

      • Use machine learning to track and adjust pricing trends.

      • Optimize pricing with reinforcement learning.

      • Integrate external data sources for competitive analysis.

    • Output: Automated price adjustments on the platform.

  2. Personalized Hotel Recommendations:

    • Objective: Develop an AI model for personalized hotel suggestions.

    • Details:

      • Utilize collaborative/content-based filtering for recommendations.

      • Track user behavior and adapt recommendations dynamically.

    • Output: Personalized and updated hotel lists based on user data.

  3. AI Customer Service (Chatbot):

    • Objective: Implement an AI chatbot for customer inquiries.

    • Details:

      • Use NLP for conversational query handling.

      • Integrate with the backend for real-time information retrieval.

    • Output: 24/7 AI chatbot for basic customer interactions.

  4. Data Collection and Feedback Loop:

    • Objective: Continuously improve AI models with data analysis.

    • Details:

      • Set up data collection systems for user behavior and pricing changes.

      • Fine-tune AI models based on feedback and trends.

    • Output: Data pipelines for ongoing learning and optimization.

 
Posted : 11/22/2024 1:28 pm
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