Technologies Involved:
Dialog flow
nodejs
Area Of Work: Chat bot
Project Description

A Ukraine-based entrepreneur sought a custom AI chatbot for Facebook Messenger and Telegram to automate online customer support for a multilingual audience. The goal was to deliver real-time assistance, reduce manual intervention, and integrate the chatbot into their existing digital ecosystem for better service outreach and operational efficiency.

Scope Of Work

The client needed a chatbot architecture for Facebook Messenger and Telegram with customizable API integrations, multilingual support (English & Russian), and platform scalability. The project covered chatbot logic design, platform integration, language configuration, and solution testing before deployment to ensure seamless automation and usability.

Our Solution

To deliver an intelligent and scalable solution, Oodles built a multi-platform chatbot using Dialogflow, Python, and Facebook’s Developer API. The chatbot was designed to understand user queries, manage dynamic conversation flows, and operate bilingually in English and Russian.

Key implementations included:

  • Conversational AI Engine: Used Google Dialogflow to train intents, enabling the chatbot to understand and respond in context across platforms.

     
  • Facebook Messenger Integration: Leveraged Facebook Developer tools to connect Dialogflow to Messenger via a webhook, ensuring secure message handling.
     
  • Telegram Extension: Added Telegram as an additional channel using Python-based handlers.
  • Multilingual Support: Configured dual-language logic within Dialogflow.
  • Custom API Support: Designed and implemented a flexible API structure.
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