Build your AI Startup Hackathon. Episode 2

We are happ to welcome you on AI Hackathon on lablab.ai! Let's create and build together over next 7 days!

Kick-Off Stream | Intro to lablab.ai

Here's the intro fron our SideQuest provider - Redis. Find out how you can benefit from their technology!

Redis Intro

We will go through the platform and Discord to help you succeed!

Hackathon guide

Redis Platform Introduction 

Tutorial for new to AI people by Fabian - lablab.ai developer

Chat-GPT for developers

Awesome tutorial on buildign Apps with one of the leading NLP model by AI21 Labs.

How to build your app with AI21 Studio

AI interview with Ryan Donnelly - Founder at Enzai Technologies, and the ambassador of Responsible AI!

Ryan Donnelly Talk

Smart Voice Analytics with AI and Large Language Models

AI Alliance

RemaAlgunaibet

Khalid

Call centers handle an immense volume of customer interactions every day, and it's crucial for businesses to evaluate the quality of these interactions to maintain high customer satisfaction rate. Traditionally, quality and assurance auditing has been a time-consuming and manual process, where human auditors listen to and evaluate customer calls. This approach is prone to human error, inconsistency, and scalability challenges.
The Voice Analytics with AI aims to revolutionize the quality & assurance auditing process of call centers by transcribing and analyzing audio recordings using GPT-3 and Whisper models.  The proposed solution leverages Automated Speech Recognition (ASR) and Large Language Models (LLM) to automate and streamline the quality and assurance auditing process. 
First, the system summarizes key information in call recordings, such as operator's name, issues, and solutions, and other relevant data points. After that, the solution conducts sentiment analysis to evaluate the tone and mood of the conversation using NLP and LLM. In addition, LLM evaluates customer experience and satisfaction levels and provides scores for each. Last but not least, the model ends the report of each call with feedback and insights about the performance of operator and suggests areas for improvement. ​
Overall, the proposed solution has the potential to transform the call center industry, providing businesses with valuable accurate insights into their customer interactions and enabling them to take proactive steps to train their operators and improve their overall customer experience.​

Our seamless solution uses AI & LLM to revolutionise call centre quality assurance auditing process by providing smart and automated call summarisations, sentiment analysis, customer satisfaction evaluation, and insights to improve operator's performance.

"AI Alliance team on Build your AI Startup Hackathon. Episode 2 Hackathon"

Team Idea

Submission