📃: Emotion Recognition from Facial Expressions

[Avdhesh-Varshney]

🔴 Title : Emotion Recognition from Facial Expressions
🔴 Aim : Develop a system to recognize emotions from facial expressions using deep learning techniques.
🔴 Brief Explanation :

• Collect a dataset of facial images labeled with emotions (e.g., happy, sad, angry, etc.).
• Train a deep learning model (such as CNN or RNN) to classify facial expressions into different emotions.
• Build an interface where users can upload images or use a webcam for real-time emotion recognition.
• Ensure the system can accurately detect and classify emotions under varying lighting and facial conditions.

Screenshots 📷

N/A

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✅ To be Mentioned while taking the issue :

• Full name :
• What is your participant role? (Mention the Open Source Program name. Eg. GSSOC, SSOC, JWOC, etc.)

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Happy Contributing 🚀

All the best. Enjoy your open source journey ahead. 😎

[Armaan457]

Name: Armaan Jagirdar
Participant role: SSOC'24
I plan to utilise this dataset from Kaggle: https://www.kaggle.com/datasets/msambare/fer2013/data
On this data, I plan to use various models like VGG16, VGG19, ResNet50 and MobileNet. Then choose the best model based on accuracy.
After that I'll build this interface on Streamlit
Can I work on this issue?

[Avdhesh-Varshney]

@Armaan457 go ahead.

[DebanKsahu]

name :-Deban Kumar Sahu
participant role:- Contributor(GSSoC'24-Extd)

I will start with conv2D (my own model) and then will use imageNet , ResNet and some other pre trained model from hub for this.
For hyper parameters tunning I will use keras tunner and for interface I will use streamlit.
Dataset:- https://www.kaggle.com/datasets/nabilsherif/facial-emotions-recognition-dataset

https://www.kaggle.com/datasets/tapakah68/facial-emotion-recognition

[DebanKsahu]

I follow through your contributing guideline where you mentioned to create a virtual env with dependencies you provide. My doubt is I already have a virtual env so could i work there or I have to create a separate virtual env with your dependencies??

[Avdhesh-Varshney]

I follow through your contributing guideline where you mentioned to create a virtual env with dependencies you provide. My doubt is I already have a virtual env so could i work there or I have to create a separate virtual env with your dependencies??

No problem. Virtual env. is just for setup the project locally in the system. You can go with your own venv.

[venkat-2811]

Name: Sunkara Venkata Karthik Sai
Participant role: GSSOC'24 Extd Contributor

We need to develop a Facial Recognition System using ML Models. The project will involve detecting various types of human expressions in images or video feeds using AI/ML techniques. The detection system should be able to recognize common expressions types such as happy,sad,crying, etc., and provide the type of expression that is being given.

Can I work on this issue?

[Avdhesh-Varshney]

@DebanKsahu What's the update? You've reaching your time limit of 5 days. #113

[Harshitraaaj]

i think i can complete this issue. assign this role to me

[Harshitraaaj]

@Avdhesh-Varshney bro I created a emotion recognition , should i have to integrate with jarvis model or Separately create a folder where these model work and Generate a Pull req

[Avdhesh-Varshney]

Integrate it with jarvis and raise the pr and attach the video to review the functionality