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HypeTeq has worked on Product Recommendation System and was successful to get the result.
We have worked on Image Segmentation and the model is capable enough in detection objects in image as well as in video.
We have worked on Planogram and we were able to distinguish between the master image with the test image with 90% accuracy.
We applied statistical techniques for sentiment analysis, for converting text to numeric feature vectors. Tuning the model with certain hyperparameters helped the model to accurately identify the sentiment such as Positive , Negative and Neutral.
HypeTeq has worked on Weed Detector and we achieved final training accuracy of 92% with validation accuracy of 93%.
