This content originally appeared on DEV Community and was authored by cauhlins
This is a submission for the Nylas Challenge: AI Expedition.
What I Built and Why
I built Telinga, a comprehensive Customer Feedback and Notification System. This project is an interactive customer support API that leverages Django, Twilio (for SMS), Nylas (for Email & calendar events), and Google's Gemini AI for sentiment analysis and automated responses.
The motivation behind building Telinga was to create a unified platform that can handle various aspects of customer interaction, from feedback collection to automated responses and meeting scheduling. By integrating multiple technologies, Telinga aims to streamline customer support processes and provide businesses with powerful tools for managing customer relationships.
Demo
Code
The project repository is available at:
Onwuagba
/
Telinga
An interactive customer support API built with Django, Twilio, Nylas, and Gemini AI for sentiment analysis and automated responses.
Telinga
An interactive customer support API built with Django, Twilio, and Gemini AI for sentiment analysis and automated responses.
CODE IS CURRENTLY IN DEVELOP BRANCH
Please note that the main branch of development is the develop branch.
Your Journey
Leveraging Nylas was a crucial part of developing Telinga. Here's how I used Nylas and what I learned:
- Email Integration: Nylas provided a robust way to handle email communications. I used it to track email threads, which allowed for comprehensive analysis of customer interactions.
- Calendar Management: The Nylas API made it simple to integrate calendar functionality, enabling the system to schedule meetings based on customer interactions seamlessly.
- Webhook Implementation: I created a custom Django management command to set up Nylas webhooks programmatically. This allowed the system to react in real-time to events like email replies.
- Email Analysis: Using Nylas, I implemented features to analyze and summarize email threads, providing quick context for customer support teams.
What I'm most proud of in this project:
- Seamless Integration: Successfully integrating multiple technologies (Nylas, Twilio, Google's Gemini AI) into a cohesive system.
- AI-Powered Features: Implementing advanced features like sentiment analysis, language detection, and automated response generation using Google's Gemini AI.
- Scalability: Designing the system with Celery for handling asynchronous tasks, ensuring that it can handle a large volume of customer interactions efficiently.
- Multi-language Support: Implementing language detection and translation features to support a global customer base.
- Comprehensive API: Developing a wide range of API endpoints that cover various aspects of customer interaction, from data upload to feedback analysis and meeting scheduling.
Throughout this project, I learned the importance of webhook management, the power of combining different APIs to create a feature-rich application, and how AI can significantly enhance customer support processes. The Nylas API proved to be a versatile tool, especially in handling email communications and calendar events, which are crucial for maintaining strong customer relationships.
This project pushed me to think about customer support in a more holistic way, considering not just individual interactions but the entire journey of customer communication across different channels. It was a challenging but rewarding experience that has greatly expanded my skills in building complex, integrated systems.
This content originally appeared on DEV Community and was authored by cauhlins
cauhlins | Sciencx (2024-08-31T20:59:27+00:00) Introducing Telinga: A Smart Customer Feedback System Powered by Nylas and AI. Retrieved from https://www.scien.cx/2024/08/31/introducing-telinga-a-smart-customer-feedback-system-powered-by-nylas-and-ai/
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