HypeTeq Cognitive

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%.

HypeTeq has worked on Next Word Prediction and the model was capable to predict the next word based upon its training.

HypeTeq has worked on Human Activity Recognition and the model was able to identify human visual skeleton and based upon that it accurately detected the scene with prediction score.

We have worked on shoplifting detection and the model was highly capable enough to detect the thief from the video capture.

HypeTeq has worked on image spoofing and was able to distinguish between fake and real faces with 80% accuracy.