Simplify your online presence. Elevate your brand.

Mood Mapper Devpost

Mood Mapper Devpost
Mood Mapper Devpost

Mood Mapper Devpost Mood mapper is an application that tracks your facial expression and records your mood throughout the use of your computer. mood mapper will visualize an accurate report of your mood during usage time of different sites through donut charts consisting of all the moods for each site. Moodmapper is a mood journaling platform that helps users log daily emotions and understand their emotional patterns over time. it features a custom built rest api using flask and mysql, with an optional modern frontend powered by streamlit.

Mood Mapper Devpost
Mood Mapper Devpost

Mood Mapper Devpost Moodmapper is a powerful tool for analyzing text and uncovering emotional insights. using advanced natural language processing techniques, moodmapper accurately detects and analyzes emotions expressed in any text data. Mood map helps users track and visualize their emotions over time. by logging daily moods, they create a “mood map” to identify patterns and trends, empowering self reflection and mental well being. About mood mapper: an ai driven tool that analyzes text to accurately identify and categorize emotions. 😊. Users can select a mood emoji (happy, sad, neutral, excited, etc.) for a specific date. calendar based interface to log moods for each day. moods are saved in localstorage, so they persist even after page refresh. automatically updates the calendar when the month is changed. displays previous moods when switching between months.

Mood Mapper Devpost
Mood Mapper Devpost

Mood Mapper Devpost About mood mapper: an ai driven tool that analyzes text to accurately identify and categorize emotions. 😊. Users can select a mood emoji (happy, sad, neutral, excited, etc.) for a specific date. calendar based interface to log moods for each day. moods are saved in localstorage, so they persist even after page refresh. automatically updates the calendar when the month is changed. displays previous moods when switching between months. Mood mapper uses passive behavioral data analysis and machine learning to detect early signs of depression and anxiety episodes, providing predictive insights and gentle interventions for proactive mental healthcare. Mood mapper analyzes text inputs to predict users'emotions. built with streamlit for web development and utilizing a pre trained model loaded with joblib, the application offers a user friendly interface for emotion analysis. A react web app made to be a daily mood journal to help self assess your mental health, and be able to check your previous entries to give some insight into what makes you feel happy, or depressed, or anxious. Users can select a mood emoji (happy, sad, neutral, excited, etc.) for a specific date. calendar based interface to log moods for each day. moods are saved in localstorage, so they persist even after page refresh. automatically updates the calendar when the month is changed. displays previous moods when switching between months.

Mood Mapper Devpost
Mood Mapper Devpost

Mood Mapper Devpost Mood mapper uses passive behavioral data analysis and machine learning to detect early signs of depression and anxiety episodes, providing predictive insights and gentle interventions for proactive mental healthcare. Mood mapper analyzes text inputs to predict users'emotions. built with streamlit for web development and utilizing a pre trained model loaded with joblib, the application offers a user friendly interface for emotion analysis. A react web app made to be a daily mood journal to help self assess your mental health, and be able to check your previous entries to give some insight into what makes you feel happy, or depressed, or anxious. Users can select a mood emoji (happy, sad, neutral, excited, etc.) for a specific date. calendar based interface to log moods for each day. moods are saved in localstorage, so they persist even after page refresh. automatically updates the calendar when the month is changed. displays previous moods when switching between months.

Comments are closed.