AI-Powered Mobile App Development

Overview: Developed a mobile application that integrates advanced artificial intelligence (AI) technologies to enhance user experience, automate tasks, and provide intelligent insights. The app includes AI-driven features such as natural language processing (NLP), machine learning (ML), and computer vision for personalized recommendations, predictive analytics, and real-time image/voice recognition.

Responsibilities:

Led the full development lifecycle, from requirements gathering and design to deployment and maintenance.

Designed user-friendly interfaces and integrated AI-powered features like chatbots, voice commands, and image recognition.

Utilized machine learning frameworks (TensorFlow, PyTorch) for recommendation systems and predictive analytics.

Integrated NLP for voice interaction and virtual assistants using Google Dialogflow and Microsoft LUIS.

Developed backend services using Node.js/Django, with cloud support from AWS and Google Cloud for AI model deployment.

Conducted testing with Appium and Selenium to ensure smooth performance and usability of AI components.

Managed app deployment on Google Play and Apple App Store, with continuous updates and user feedback integration.

Technologies Used: React Native, Flutter, TensorFlow, PyTorch, Node.js, Django, AWS, Google Cloud, Firebase, Dialogflow, OpenCV.