Client Overview
A technology-driven education and content services company wanted to enable users to instantly interact with multiple content types — PDFs, web pages, YouTube videos, and more through natural, AI-powered conversations.
92
%
Reduction in Information Retrieval Time
70
%
Lower Support Query Volume
40
%
Increase in Content Utilization
99.5
%
Accuracy in Data Extraction
The Challenge
The client needed a unified solution that could:
- Allow real-time Q&A across different content formats.
- Deliver accurate, context-aware answers quickly.
- Support document comparison and summarization.
- Be scalable, secure, and intuitive for diverse audiences.
- Reduce the time spent on research and information gathering.
What we did
- Built a conversational AI platform using Cohere API for human-like, context-rich responses.
- PDF Interaction: Upload and chat directly with documents for summaries and insights.
- Webpage Chat: Extract and discuss information from any URL in real-time.
- YouTube Chat: Analyze and summarize transcripts for quick understanding.
- Document Comparison: Side-by-side view highlighting differences between two files.
- Summarization Engine: AI-powered concise summaries for fast comprehension.
- Architected a secure, cloud-native infrastructure for scalability and reliability.
The Results
- Hours to Minutes: Reduced research and content analysis time dramatically.
- 70% Higher Engagement: Multi-format interaction boosted user activity.
- Real-Time Insights: Empowered decision-making with instant AI-driven summaries.
- Monetization Ready: Flexible for both B2B licensing and B2C subscription models.
Technologies we used to support the GEN-AI Platform
Cohere API
Python NLP Libraries
React.js
Node.js
Express
MongoDB
AWS Cloud
