Emocare
To foster a productive and supportive workplace environment, we aim to reduce work pressure and resolve conflicts using AI-driven emotion and stress management tools, leveraging artificial general intelligence (AGI) for a more empathetic and effective response. Our approach includes a personalized AI chatbot for managing emotions and stress, a workplace chat app with emotion screening and mood analysis, and a chat paraphrasing tool to modulate tone and intent in professional communication, all while ensuring user privacy and data protection with appropriate certifications. Our value proposition includes the ability to calculate mean emotion values over time for proactive support, the convenience of an AI-driven chatbot for emotional well-being, and tools for detecting and addressing emotionally charged conversations to promote positive dialogue and reduce conflict. Additionally, our AI can understand user feelings and provide calming content like memes and videos.
Problem statement.
what we want to do ?
To enable a productive and supportive workplace environment by reducing work pressure and resolving conflicts using AI emotion and stress management aids .
how we are gonna do it?
*personalised AI chatbot to manage emotions and stress while working
*Chatting App for the workplace with emotion screening and mood analysis
*Chat paraphrasing tool to help modulate tone and intent while communicating professionally.(Emotional Check and Paraphrasing)
*All while respecting user privacy and data protection, pysch certification
Value Proposition
1. Emotion Calculation:
*Showcase the ability to calculate mean emotion values for individuals over time
*Illustrate the benefits of proactive support and personalized interventions
2. Personalized Chatbot and Chat App:
*Highlight the convenience of an AI-driven chatbot that automatically responds to emotions
*Emphasize improved user experience and emotional well-being
* Able to understand user feelings and provide feeds like memes and videos to calm down their emotion.
3. Emotional Check and Paraphrasing:
*Discuss the importance of detecting and addressing emotionally charged conversations
*Explain how paraphrasing can promote positive dialogue and reduce conflict.
Technologies Used
Machine Learning: TensorFlow, Scikit-Learn, Mistral 7B
Backend: Flask (for hosting sentiment analysis, paraphrasing, and LLM models), Node.js (for hosting PostgreSQL database)
Frontend: Flutter
Database and Authentication: PostgreSQL