In-depth tutorials on Google Gemini, TensorFlow Lite, LangChain, ML Kit and more. Everything here comes from shipping Flutter apps with AI features for real clients.
Learn how to integrate Google's Gemini AI into your Flutter apps using the new AI Toolkit. This comprehensive guide covers multi-turn conversations, streaming responses, multimodal capabilities, and advanced AI features with practical examples.
· 25 min read · Utsav Savani
Complete guide to implementing on-device machine learning models in Flutter using TensorFlow Lite. Learn image classification, object detection, and custom model deployment.
· 40 min read · Utsav Savani
Build intelligent conversational interfaces using Flutter, LangChain, and various LLM providers. Learn RAG implementation, function calling, and agent development.
· 45 min read · Utsav Savani
Implement powerful computer vision features like face detection, text recognition, and barcode scanning in Flutter apps using Google ML Kit Vision APIs.
· 35 min read · Utsav SavaniLearn to build voice-enabled Flutter applications using OpenAI's Whisper for speech recognition and ElevenLabs for natural text-to-speech synthesis.
Est. 30 min readCreate personalized recommendation engines for Flutter apps using collaborative filtering, content-based filtering, and neural networks.
Est. 35 min readProcess video streams in real-time using AI models for object tracking, segmentation, and augmented reality effects in Flutter applications.
Est. 25 min readNo articles in this topic yet.
We design, build and ship Flutter apps with AI features for startups and product teams. Tell us the idea and we will tell you what it takes.
