Al-Maqraa Quran with AI
تفاصيل العمل
•Designed and implemented advanced speech recognition models (QuartzNet, RNN-CTC) to evaluate Quranic recitations, providing precise pronunciation feedback. 09/2023 – 05/2024 Cairo, Egypt •Developed a Flutter-based mobile app integrating a Python ML model and Speech-to-Text algorithms to convert Arabic speech into diacritic-rich text and compare it with Quranic text for accuracy. •Built an audio preprocessing pipeline (silence removal, echo noise reduction) to enhance input quality. •Developed an ASP.NET Web API for backend services and deployed ML models using .NET and PostgreSQL on Azure for scalability and security. Focused on delivering an accurate, intuitive, and user-friendly Quranic recitation experience.
بطاقة العمل
طلب عمل مماثل
