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TAHIR0110 / ThereForYou

ThereForYou: Your mental health ally. Kai, our AI assistant, offers compassionate support. Track your mood trends, find solace in a secure community, and access crisis resources swiftly. We're here to empower your journey towards improved well-being, leveraging technology for a brighter tomorrow.
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Sign Language Detection System #209

Open Shrutakeerti opened 3 months ago

Shrutakeerti commented 3 months ago

Is there an existing issue for this?

Feature Description

A state-of-the-art sign language detection system encompasses several key features: it utilizes cameras or depth sensors to capture hand shapes, movements, and facial expressions, and employs advanced machine learning models such as CNNs and RNNs for accurate gesture recognition. The system preprocesses inputs to enhance video quality and reduce noise, extracts spatial, temporal, and contextual features, and processes data in real-time with low latency. It translates recognized signs into text and speech, supports multiple sign languages and regional variations, and provides a user-friendly interface with interactive learning and feedback mechanisms. Additionally, it ensures data security and privacy through encryption and offers integration capabilities with APIs for cross-platform compatibility, making it a versatile tool for communication, education, and accessibility services.

Use Case

A practical use case for a sign language detection system is in educational settings where it can facilitate communication between deaf students and their hearing peers and instructors. The system captures and translates sign language gestures into text or spoken language in real-time, allowing for seamless interaction during classes. This not only aids in the comprehension of lectures and participation in discussions but also serves as a learning tool for those studying sign language. Furthermore, its ability to support multiple sign languages and regional variations ensures that it can be utilized in diverse educational environments, promoting inclusivity and accessibility for all students.

Benefits

The benefits of a sign language detection system are substantial, enhancing communication and accessibility for deaf and hard-of-hearing individuals across various contexts. By translating sign language into text and speech in real-time, it bridges the communication gap, enabling more inclusive interactions in educational, professional, and social settings. The system promotes independence and self-expression for sign language users, reduces the need for human interpreters, and increases awareness and learning of sign language among non-signers. Its adaptability to multiple sign languages and regional dialects ensures widespread applicability, while its interactive feedback mechanisms and data security features enhance user experience and trust.

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Priority

High

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github-actions[bot] commented 3 months ago

Hi there! Thanks for opening this issue. We appreciate your contribution to this open-source project. We aim to respond or assign your issue as soon as possible.

malhotramoulie commented 3 months ago

Is your feature request related to a problem? Please describe. This project focuses on developing an American Sign Language (ASL) detector using various Python libraries. It aims to address the communication barriers faced by individuals who are non-verbal and use sign language to communicate. There are only 250 certified sign language interpreters in India, translating for a deaf population of between 1.8 million and 7 million.

Describe the solution you’d like The primary purpose of this project is to facilitate better communication for non-verbal individuals by detecting and translating ASL into text or speech. This project will aid in improving accessibility and inclusion for people who rely on sign language. Additionally, it can help in various sectors such as education, healthcare, and customer service by enabling more effective communication with non-verbal individuals. Ultimately, this model can enhance social integration and ensure that non-verbal individuals have equal opportunities to participate in all aspects of life.

Our application allows any user to point the camera towards a mute person (with consent, of course) and effectively understand what he/she is trying to say.

Libraries used

Use cases

  1. Deaf people can have a common classroom by asking their questions/doubts without any hesitation.
  2. Inclusion of this community in normal schools.
  3. Tourist guides can communicate better using sign language.

Dataset being used

Aman0474 commented 3 months ago

I also request to assign me the issue i have already discussed with @malhotramoulie we both are contributors of GSSoC’24. If you assign it we can both work on it together @TAHIR0110.