Revolutionize Event Planning with AI

Planning events can be a delightful experience for some and a daunting task for others. However, with the integration of AI, event planning can be streamlined and significantly simplified, turning a laborious process into a manageable one with just a few keystrokes.

Content GenerationNatural Language Processing
15X More Efficient
20+ Hours saved per event
20% Increase in productivity

Leveraging AI for Enhanced Health Monitoring in Elderly Care

This advanced health platform utilizes artificial intelligence to provide personalized alerts and early disease detection based on residents' medical and behavioral data. The clinical support tool creates customized treatment and care plans, improving patient care and enhancing staff efficiency.

Cognitive ComputingDeep LearningNatural Language Processing
3X Faster Response Time to Health Alerts
85% Improvement in Early Disease Detection
2.5Hrs Saved Per Day in Administrative Tasks

AI-Driven Content Categorization and Onboarding

Our client aimed to address global issues such as depression, loneliness, poverty, and crime by connecting neighbors for socializing, hiring, trading, and more. However, they faced challenges in enhancing user experience during onboarding and interaction on the platform. We tackled these challenges by implementing AI-driven solutions to automate and streamline various processes, significantly improving user satisfaction and engagement.

Natural Language ProcessingSpeech Recognition
75% Profile creation increased
90% Improvement in category selection
~80sec Time Reduced

Automating CAPTCHA Resolution for Data Scraping

The primary challenge was the CAPTCHA presented during the login process, which was difficult even for humans to solve on the first try. This led to frequent interruptions as the bot had to stop and wait for a human to solve the CAPTCHA via Slack. This process was inefficient and slowed down the data scraping operations significantly.

Computer VisionMachine Learning
98% Accuracy
90% Reduction in human intervention
300% Time Savings

Implementing Vision-Based Scraping

Our client, an e-commerce aggregator, needed to extract data from various retail websites to keep their database updated with the latest product information, prices, and availability. Initially, we employed traditional DOM-based web scraping techniques, using libraries like BeautifulSoup and Selenium. However, we encountered significant challenges due to the dynamic nature of the websites.

Computer Vision
80% Reduction in maintenance frequency
40% Robustness enhancement
100% Flexibility improvement