100%
Customer Satisfaction
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Social Media and Networking
A digital media platform focuses on making content more accessible and engaging. To meet demand for multi-format content, they developed an AI solution that converts text-based social media discussions into audio podcasts.
Technology
Python | Google Cloud | OpenAI
Country
India
Industry
IT
40%
Higher Engagement
60%
Decrease in average content production time
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Challenges & Solutions
01.
Insight Filtering
Users struggle to filter relevant insights from lengthy posts and discussions. It is becoming difficult to gain detailed information easily.
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NLP was used to extract key points from social media discussions, quickly summarizing information.
02.
Audio Accessibility
Limited audio formats hinder content reach and accessibility. Most of the contents are textual and unable to cater to a wider audience.
![[object Object]-1](/images/arrow-right-resource.png)
AI converted summarized posts into podcasts, enhancing accessibility and engagement with language preferences.
03.
Manual Errors
Manual summaries are error-prone and time consuming. It takes a lot of time to get the text summarized.
![[object Object]-2](/images/arrow-right-resource.png)
Expands reach by generating content in multiple languages. Now users can set their language preferences and get the information translated on the go.
Key Features
Text Analysis & Understanding
Automated Summarization
Podcast Creation from Text
Customizable Podcast Styles
Seamless Multi-Platform Integration
Personalized Playback Speed Options
Real-Time Content Updates
Language Localization for Global Reach
About a Social Media and Networking
A digital media platform focuses on making content more accessible and engaging. To meet demand for multi-format content, they developed an AI solution that converts text-based social media discussions into audio podcasts.
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