Facial Emotion Recognition for Mood Tracking

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  GUI

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  Emotion Bar Chart

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  Emotion Pie Chart

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  Live Detection

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  Class

Inspiration

Our inspiration for "Facial Emotion Recognition for Mood Tracking" originates from the goal of creating a supportive and emotionally intelligent learning environment for students.

What it does

Our system, designed specifically for education, integrates face detection and emotion recognition technologies. It enables teachers to accurately analyze students' facial expressions and track their moods in real-time. This valuable insight enhances educators' ability to understand and support students' emotional well-being.

How we built it

We built our system using Python, OpenCV, and TensorFlow frameworks. By training our machine learning models on a diverse dataset of students' facial expressions, we achieved precise emotion recognition tailored to the educational context.

Challenges we ran into

Throughout the development process, we faced challenges in adapting the system to varying classroom conditions, including different lighting and facial variations. We also had to ensure the system's usability and integration with existing educational technology.

Accomplishments that we're proud of

We take pride in developing a system that accurately recognizes students' emotions in an educational setting. By integrating face detection, we have enhanced the system's accuracy and usability, allowing teachers to gain valuable insights for fostering emotional well-being in the classroom.

What we learned

During the development journey, we gained valuable insights into the unique emotional needs of students in an educational environment. We also learned about the significance of collaboration with teachers and educators to ensure the system's effectiveness and relevance.

What's next for Facial Emotion Recognition for Mood Tracking

Moving forward, we plan to refine and expand the system's features to provide more comprehensive insights into students' emotional states. We aim to develop tools for teachers to address individual student needs effectively. Additionally, we intend to partner with educational institutions to conduct research on the impact of emotional intelligence on student outcomes.

Built With

• googlecollab
• machine-learning
• opencv
• python
• tensorflow