Signify is a groundbreaking mobile application that bridges the communication gap between the deaf and hearing communities. Leveraging cutting-edge machine learning and computer vision technologies, Signify provides real-time sign language recognition and translation capabilities.
Signify's innovative approach empowers the deaf community by providing them with a seamless communication tool for everyday interactions, while simultaneously raising awareness and promoting sign language literacy among the hearing population. By leveraging the latest advancements in mobile technology and artificial intelligence, Signify represents a significant step towards fostering inclusivity and accessibility for all.
| Member | Student ID | Path | University | |
|---|---|---|---|---|
| Melatie Raghyl Putri | M004D4KX1487 | Machine Learning | Institut Teknologi Sepuluh Nopember |  |
| Bagas Mujaddid Adyatma | M004D4KY1573 | Machine Learning | Institut Teknologi Sepuluh Nopember | |
| Yohana Nainggolan | M319D4KX2642 | Machine Learning | Universitas Sumatera Utara | |
| Syifa Nailla Nuha | C006D4KX0079 | Cloud Computing | Universitas Brawijaya | |
| Khofifah Handariyanti | C004D4KX0068 | Cloud Computing | Institut Teknologi Sepuluh Nopember | |
| Muhammad Salman Alfarisi | A013D4KY4399 | Mobile Development | Universitas Terbuka | |
| Raihan Achmad Dani Firmansyah | A129D4KY4396 | Mobile Development | Politeknik Negeri Jember | |
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