EasyMeet

We all have seen how remote work has come as a rapid flood of change globally. Adapting this change, we all are all are dealing with more online meetings on different platforms.

 

We all may have experienced, that we have to prepare meeting notes during or after it gets finished. Or we may have to relisten long record of meeting just to note down some specific information out of it. And for this, we have to go back and forth playing the record.

 

So, here is acting as real-time speech translation, EasyMeet application,
that will transcribe the audio meeting into notes, and will also provide summary of the meeting once it gets finished. The document becomes handy to access or share with anyone.

 

EasyMeet works with any meeting application like Google Meet, Skype, Zoom, etc., running parallel to it. To use this service, we simply need to start recording our meeting with the EasyMeet app, and then EasyMeet will provide the us to see the live transcription of the meeting with around 90% accuracy. We can pause or stop the recording at any time between the meeting. Once the meeting is stopped, we will be provided with the whole transcript of that meeting and it’s summary, which can be saved or shared via E-mail.

 

Easy Meet, a Desktop application, can transcribe many other languages rather than just English.

Key Challenges

This innovative project is exciting to develop. And this is not just a simple page with CRUD operations, intead it deals with the real time language data, hardware configuration and technology all put together.

 

And so we faced different situations like while transcribing data, it was difficult to differentiate audio-input (microphone audio) and audio-output (Speaker audio), that is to display the transcript data of You:… vs Other:.…

 

Initially we were facing problem getting small chunk of data of certain interval of time, but we have overcome this with solution.

Our Solutions

To get fresh chunks of data at every interval of time, we have used timeout with time of 5 seconds while recording the video. By doing this, recorder will give small chunk of data of every 5 seconds.

 

While developers are still working on differentiating audio-input (microphone audio) and audio-output (Speaker audio), to avoid transcribing unwanted data.

Tech Stack

Conclusion

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Project Overview

IIFL, a leading financial institution in Asia-Pacific, required a solution to help customers track their income, expenses, and investments effectively. Our team developed an AI-powered mobile app that utilizes intelligent technologies like AI and ML to monitor financial transactions, suggest lucrative investment options, and provide insightful financial guidance.

Key Challenges

IIFL, a leading financial institution in Asia-Pacific, required a solution to help customers track their income, expenses, and investments effectively. Our team developed an AI-powered mobile app that utilizes intelligent technologies like AI and ML to monitor financial transactions, suggest lucrative investment options, and provide insightful financial guidance.

Our Solutions

IIFL, a leading financial institution in Asia-Pacific, required a solution to help customers track their income, expenses, and investments effectively. Our team developed an AI-powered mobile app that utilizes intelligent technologies like AI and ML to monitor financial transactions, suggest lucrative investment options, and provide insightful financial guidance.

Tech Stack

Conclusion

In conclusion, SOMPO Insurance has successfully addressed the challenges of providing seamless insurance experiences and supporting both D2C and B2B journeys. Through the development of a comprehensive Customer Web Portal and integration with key services and platforms, SOMPO Insurance has demonstrated its commitment to innovation and customer satisfaction in the insurance industry.

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