Attention-based bidirectional LSTM for Classification Task (ICASSP)
This is a Text Analysis App which can be used to find a detailed analysis of a particular text. This includes 5 main types of Analysis - Spam/Ham Detection, Sentiment Analysis, Stress Detection, Hate & Offensive Content Detection, Sarcasm Detection
Human Stress Detection project utilizes machine learning techniques to detect stress in an individual
More to Less (M2L): Enhanced Health Recognition in the Wild with Reduced Modality of Wearable Sensors
This project is designed to help users assess their stress levels and provide personalized suggestions for managing stress. The chatbot collects user data such as age, gender, sleep quality, physical activity, and health metrics, and uses a RandomForestRegressor model to predict the user's stress level.
A comparative analysis of time-series encoding methods (GAF, MTF, RP) using CNN architectures (VGG-16, ResNet) for stress detection from wearable sensor data
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