The business problem addressed by the project was the need for improved accuracy and efficiency in identifying and classifying entities within text data. Additionally, there was a requirement to implement sentiment analysis for determining the sentiment (positive, negative, neutral) of text. The project also aimed to organize visual data by providing detailed descriptions and labels for image elements.

The project successfully delivered solutions that substantially increased accuracy and efficiency in entity identification and classification within text data. The implementation of a successful sentiment analysis annotation system provided accurate labeling for sentiment determination. Moreover, the project effectively organized visual data by providing detailed descriptions and labels for image elements.

8000+ text messages labeled 10000+ images annotated 98% accuracy and efficiency rate achieved