.png)
Letting Data Speak, AI Act!
Case Study
AI-Powered YouTube Video Highlights and Interactive Q&A
About the Client
A content platform seeking to enhance user engagement with YouTube podcast videos.
Challenge
The client faced two main challenges:
Users struggled to locate and focus on the most significant moments and insights within lengthy YouTube podcast videos.
There was a lack of an interactive system for answering specific questions related to the podcast content, limiting user engagement and knowledge retrieval.
Key Results
Generated concise and engaging video highlights, reducing viewing time by 60% to 80% while maintaining key content.
Implemented an interactive Q&A chatbot, enabling a brand new way of user engagement for YouTube videos and improving content accessibility.
Solution
The solution leveraged GenAI technology to address the challenges:
Video Highlight Generation:Developed an algorithm to accept YouTube video links and retrieve transcripts. Utilized advanced natural language processing to identify and extract key moments from transcripts. Implemented a video processing system to snip and stitch relevant segments, creating a highlights video. The highlights video reduces the length of the video by 60% to 80% while still including all the key information from the original video.
Interactive Q&A Chatbot:Integrated a chatbot system capable of understanding and responding to user queries based on podcast content. Implemented context-aware responses, providing answers along with relevant video timestamps. Designed fallback mechanisms for out-of-context questions, returning to the video's main topic.
Workflow:The user submits a YouTube podcast video link. The system retrieves and processes the video transcript. AI algorithms extract highlights and generate a condensed video. Users can interact with the chatbot for specific questions about the content.
Future Enhancements:Planned development of categorized snippet generation (e.g., motivational discussions, productivity tips, business-related advice).
Technologies Used
Large Language Model (LLM) and Generative AI (GenAI)
Natural Language Processing (NLP)
Video Processing
Chatbot Development
Speech-to-Text Conversion
Other Case Study Items
Revolutionizing Personal Loans with AI-Driven Underwriting
A leading Indian personal loan provider revolutionized their underwriting process by leveraging AI and machine learning to automate 80% of loan decisions. By integrating social and financial data into a sophisticated predictive algorithm, the company drastically reduced decision times to seconds expanded access to underserved segments, and achieved lower default rates compared to human underwriters.
Artificial Intelligence - Powered Tyre Dimension Extraction System
JashDS developed an AI-powered computer vision system for a leading automotive e-commerce platform, enabling accurate extraction of tire dimensions from images. The solution, which increased conversion rates by 25% and reduced customer support inquiries by 80%, utilized advanced technologies such as YoloV8 for instance segmentation and custom-designed augmentation techniques to simplify the online tire purchasing process.
Enhanced Jira Data Analysis for Strategic Insights
JashDS developed a flexible framework for analyzing Jira project data that is capable of handling varying export structures and custom fields. The solution leveraged GenAI and LLM technologies to provide actionable insights, identify productivity trends, and uncover potential risks across diverse software projects, resulting in a ___% improvement in team efficiency and a ___% increase in successful project outcomes.