Sentiment analysis based on Facial Features

[Rhythm408]

Is your feature request related to a problem? Please describe. Emotion recognition is an important aspect of many chat applications and online social media platforms.

Describe the solution you'd like Adding a emotion detection mechanism will allow the companies to understand their customers requirements and provide better solutions.

Describe alternatives you've considered Text segmentation is a good alternative option for this problem.

[github-actions[bot]]

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[Rhythm408]

Okay Ma'am thank you for your response.

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[Priya1511jain]

Hello, can you assign this issue to me .I would like to add the code of the face emotion recognition based on facial expression using python library.

[Rani1303]

Hey @akshitagupta15june , is this issue open for SWOC'24 . I am interested in working on this one .

[Shravya016]

hello, please assign this task to me under gssoc'24.I am interested to work on this

[Gaurav-576]

I would like to work on this human-emotion sentiment analysis part of Real-time Face recognition.

[diptarup794]

Hi @Rhythm408 , I would like to work on this for the GSSOC'24. I have previous experience working with Computer Vision . Kindly assign me this project . Thank you

[chirag-garg9]

Hey @akshitagupta15june I have worked on various computer vision problems and have a good experience with computer vision algorithms related to faces. I would be very happy to work on this issue and contribute to this awesome repo. Thank You!

[Kushagra22Singh]

Good Evening, @akshitagupta15june Ma'am,

I'm particularly enthusiastic about the sentiment analysis component of this project, especially when leveraging computer vision and machine learning techniques.

Brief Overview: My focus will be on sourcing datasets from diverse sources to develop a robust sentiment analysis model capable of accurately predicting emotions from visual content in real-world scenarios.

Tech Stack: In addition to standard data preprocessing and ML techniques, I'm excited to explore the intersection of computer vision and sentiment analysis. I intend to leverage advanced ML algorithms tailored for image classification and sentiment analysis, harnessing the power of convolutional neural networks (CNNs) and transfer learning for optimal performance.

For thorough accuracy comparisons, I propose utilizing libraries like scikit-learn and TensorFlow, known for their extensive support for ML tasks and efficient implementation of CV algorithms.

Visualization: I'm committed to presenting the results in a visually compelling manner, utilizing techniques such as image annotations and sentiment heatmaps to convey insights effectively.

I would greatly appreciate the opportunity to spearhead this aspect of the project under your guidance. Please consider assigning it to me for GSSOC '24

[Mansii8224]

I had already made an face recognition attendance system so I have knowledge regarding deep learning and I had experience in openCV as I had published my research paper titled skin disease recognition using Transfer learning , so please assign me this task !!