Natural Language Processing: AI allows mobile apps to make the best use of Natural Language Processing to understand and respond to human language in both text and audio formats. This ability is important for developing features like voice assistants, customer service chatbots, product search, and much more. In e-learning apps, NLP is used for sentiment analysis, text classification, speech recognition, and autocorrection, improving the learning experience.
Machine learning is a basic part of AI, allowing mobile apps to predict outcomes based on user data. ML-based mobile apps evolve by capturing and analyzing data, helping businesses forecast trends, and optimizing app functionalities. Working with a machine learning development company allows businesses to fully force AI and ML together, improving app performance and user experience.
Emotion Recognition: AI's emotion recognition capability is marvelous and allows mobile apps to interpret human emotions through facial expressions, voice tone, and image processing. This feature helps apps understand emotional patterns, allowing businesses to deliver more custom offers and experiences personalized to users' moods.
Chatbots: AI-based chatbots are increasingly used in mobile apps for customer service, data collection, and much more. These chatbots offer advanced conversational UI that allows them to handle complex tasks swiftly. AI chatbots can respond to customer inquiries and also resolve issues if any and collect feedback to improve customer engagement.
Official URL: AI: A Game Changer for Mobile App Development