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It is an Idea For stem Project basic Engineering First year project. it contains a Short Brief
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Presented by, Haseena. V (24UGAID00128) Kanika. P (24UGAID00147) Kavishree. R (24UGAID00163) Madhudeepitha Sri. S (24UGAID00119) Mahavarshini. A (24UGAID00088) Under the Guidance of
Department of AI&DS 1 Dr. NGP INSTI TUTE OF TECH NOLO GY
Department AI&DS 3
Sign language is one of the oldest and most natural forms of communication The Hearing impaired individuals have a communication problem dealing with other people .It is hard for such individuals to express what they want to say since sign language is not understandable by everyone .To solve this problem, we have developed a system that can automatically translate sign language into text or speech in real time Our system uses artificial intelligence(AI) and computer vision to recognize hand gestures .The camera captures images of hand signs, and the AI processes these images to identify the meaning of each sign
Department AI&DS 5 Dr. NGP INSTI TUTE OF TECH NOLO GY Literature Survey
1. Ahmed H., Khan M., & Ali R. (2021) Publication: "Real-Time Sign Language Recognition Using Deep Learnin Techniques" Uses deep learning (CNNs and RNNs) to recognize sign language. **Converts hand gestures into text with high accuracy.
Department AI&DS 6 Dr. NGP INSTI TUTE OF TECH NOLO GY Literature Survey
3. Kim J., Park H., Lee S. (2023) Publication: "Sign Language Translation Using AI and Transformers" Uses AI models (BERT, GPT) to translate sign language. Processes videos of sign language and converts them into text. 4. Patel S., Sharma R., Gupta D. (2023) Publication: "Sensor-Based Smart Gloves for Sign Language Interpretation" Uses special gloves with sensors to track hand movements. Detects finger positions and converts them into words or sentences.
Department AI&DS 8
NGP INSTI TUTE OF TECH NOLO GY
The proposed system is a smart application that helps translate sign language into text and speech.
recognize hand gestures and convert them into readable text and spoken words. This system makes communication easier for hearing impaired individuals.
1. Sign Language Recognition – Uses AI and computer vision to detect and
interpret hand gestures.
2. Natural Language Processing (NLP) – Converts recognized gestures
into structured sentences for better understanding.
speech synthesizer, making it to access easily
4. Customization & Real-Time Interaction – Users can edit the translated
**text or adjust the speech speed and voice.
Department AI&DS 9
