AI
Anomaly Detection
Manufacturing
Quality Control
Machine Learning
Anomaly Detection in Manufacturing
Discover how AI-driven anomaly detection can identify defects in manufacturing processes. This demo showcases AI models that analyze sensor data to detect anomalies in real-time, ensuring quality control and reducing downtime.
Authors: Raju Pandit, Anil Dhakal &
Industry: Manufacturing
- Real-time defect detection
- Reduction of manufacturing downtime
- Enhanced product quality and reliability
Business Solutions:
AI
Chatbot
Customer Support
Automation
Natural Language Processing
AI-Powered Chatbot for Customer Support
Explore the capabilities of an AI-powered chatbot designed to handle customer inquiries. This demo demonstrates how AI chatbots can provide instant responses, improve customer satisfaction, and reduce the workload on human agents.
Authors: Suruchi Pokhrel, Sanat Uprei &
Industry: Customer Support
- 24/7 customer service availability
- Reduced response times
- Lower operational costs by automating routine inquiries
Business Solutions:
AI
Sentiment Analysis
Market Research
NLP
Consumer Insights
AI-Driven Sentiment Analysis for Market Research
Understand how AI-driven sentiment analysis can be used to gauge public opinion and customer satisfaction. This demo shows how AI models analyze social media and survey data to provide insights into consumer sentiment.
Authors: Raju Pandit, Suruchi Pokhrel &
Industry: Market Research
- Enhanced understanding of customer sentiment
- Data-driven marketing strategies
- Improved product development based on consumer feedback
Business Solutions:
