
Build ai powered chatbots from scratch in flutter using deep sea keen flutter, including medical assistant, meal planner, and ai career advisor with speech recognition and text to speech.
Explore DeepSeek AI, a cutting-edge AI platform with natural language understanding, fast API access, customizable system messages, and multi-turn conversations, and learn to build cross-platform chatbot apps with Flutter.
Explore Flutter, an open source framework by Google, building mobile, desktop, and web apps. Leverage cross-platform support from a single code file for Android, iOS, Windows, macOS.
Set up the flutter sdk on macOS by downloading the sdk, creating a development folder, extracting it, adding flutter to your path, and verifying installation with flutter version.
Install android studio and the flutter plugin to enable flutter projects in the IDE and start building flutter apps with the SDK components.
Learn how to set up Xcode on macOS to build iOS apps with Flutter, integrate Android Studio, install command line tools, and configure Flutter for iOS development.
Create a new flutter project in Android Studio, configure Kotlin for Android and Swift for iOS, and run the starter counter app on iOS simulator and Android emulator.
Create and launch an android emulator with android 14 using device manager, select pixel seven, download the image, finish setup, run the emulator, and install the flutter app for testing.
Install flutter sdk on Windows by downloading flutter Windows stable zip, unzip, place it in the C drive, and set the environment path so flutter doctor works from anywhere.
Install Android Studio, configure Flutter by installing the Dart and Flutter plugins, restart the IDE, create a new Flutter project, and run flutter doctor to resolve Android toolchains and licenses.
Create an Android virtual device in Android Studio via the virtual device manager, choose Pixel 7 Pro with Android 14, download it, and launch the emulator to test your apps.
Create a new Flutter project, build a chat UI with a text field and send button, and connect to a JNI powered AI model like Deep Seek to display responses.
log in with google, fund your deep sea api account, and learn to call the endpoint from a flutter app using json body, model name, and messages.
Learn how API stands for application programming interface. APIs enable two computer programs to communicate, using a weather app example that fetches weather data by hitting a URL.
Understand the core parts of API calls: endpoints, parameters, headers, and body, plus HTTP methods like get, post, put, and delete that drive server actions.
Connect Flutter apps to DeepSeek by adding the http library, make a post call to the chat api with a json body and api key, await and print the response.
Decode the flutter app's api response from json, access the first choice's message.content, and display the actual answer to the user after confirming a 200 status code.
Attach a text editing controller to the text field, send the user-entered query to the DeepSeek model, and display the resulting response in the middle of the screen.
Build a simple Flutter chatbot user interface by clearing the text field with a text editing controller, sending input to the DeepSeek model, and decoding UTF-8 emojis for display.
Enable advanced AI responses in Flutter by using the DeepSeek Reasoner model, replacing the chat model in API requests, which adds reasoning content and thoughtful responses.
Design a professional Flutter chat bottom bar by wrapping the row in a card, rounding corners, hiding the text field border, and applying padding to match a purple app bar.
Add the dash chat library from pub.dev and integrate the dash chat widget in Flutter. Configure messages, users, and the on send callback to display a real chat interface.
Display DeepSeek responses in DashChat for Flutter by inserting chat messages into the list to keep the latest at the bottom, using a gesture library and read only input.
Introduce a Flutter chatbot chat history feature that considers prior messages and conversation context to improve responses by looking at earlier messages before answering.
Learn to implement chat history in flutter with deapseek by maintaining a dynamic list of message maps for context, including system, user, and assistant messages.
Refactor network calls into a dedicated chat service class, moving API logic from the main file, passing chat history, and using the ask deep seek method to return results.
Explore the DeepSeek API parameters for Flutter integration, tuning messages, model selection, frequency and presence penalties, max tokens, response format, temperature, and top-p to shape output.
Enhance the chatbot by adding text-to-speech using the flutter_tts library. Learn to integrate the dependency, configure Android and iOS, initialize the tts object, and speak the DeepSeek model's responses.
Learn to add an app bar icon to enable or disable text-to-speech in a Flutter chat app, toggle a boolean isTtsEnabled, update icons, and stop playback when disabled.
Learn how to customize chatbot speech using Flutter TTS by listing languages and voices, checking language availability, and setting language and voice codes for multilingual output.
Add a microphone-driven speech-to-text feature to send voice queries to the Deep Creek model, enabling spoken questions and spoken responses, with setup of the speech-to-text library and iOS/Android permissions.
Implement speech-to-text in Flutter by initializing the speech-to-text service, starting and stopping listening with a mic icon, handling results via a callback, and passing recognized words to DeepSeek.
Pass recognized words to deep seek, display them as messages, and call the ask deep seek method on final speech results to update chat history and show API responses.
Explore how to customize a Flutter chatbot in DeepSeek using system messages, setting roles like a financial assistant or medical advisor to define behavior before chats begin.
Learn to build a Flutter-based medical advisor chatbot that personalizes system messages, asks 4 to 5 symptom questions, collects details, and offers suggestions with disclaimers and red flags, without diagnosing.
Demonstrates building a medical assistant user interface in Flutter by adding a doctor image asset, declaring the assets in pubspec.yaml, and presenting a centered welcome screen before the chat.
Design clickable suggestion tiles in flutter for a medical chatbot, using card widgets, padding, rounded shapes, and inkwell to send prompts like headache or need a checkup.
Change app color scheme in Flutter demonstrates updating the app bar, send button, and chat messages to deep orange accent using message options and current user container color.
Learn to format chatbot results in flutter to display clear questions and details, improving readability as formatting is applied in the next section.
Enhance flutter chatbots by showing Lottie animations while the bot returns results. Download a Lottie JSON, add it to assets, and display it during loading with the Lottie widget.
Generate PNG images with AI for Flutter apps using Imagine Art, create prompts like a robot planning a healthy meal, and download images to use in your application's custom chatbot.
Build the Future: AI Agents That Actually Think, Plan & Execute Tasks
The AI world has shifted from simple chatbots to intelligent agents that can reason, plan, and complete complex tasks autonomously. DeepSeek has taken the world by storm with its breakthrough reasoning capabilities A Deep-Dive Into DeepSeek: The AI That Has Taken the World by Storm – The Science Survey, and now it's your turn to build the next generation of AI-powered apps!
What Are AI Agents? Unlike basic chatbots, AI agents can:
Analyze problems and break them into steps
Make decisions based on context and reasoning
Execute multi-step workflows independently
Learn and adapt from user interactions
Handle complex real-world tasks like a human assistant
What You'll Build:
1. Intelligent Health Assistant Agent
Analyzes symptoms and medical history
Creates personalized health action plans
Reasons through complex health scenarios
2. Smart Career Development Agent
Analyzes your skills and career goals
Creates step-by-step career roadmaps
Builds tailored resumes for specific jobs
Provides interview preparation strategies
3. Personal Finance Planning Agent
Analyzes spending patterns and financial goals
Creates personalized budget and investment plans
Tracks progress and adjusts strategies
Provides real-time financial advice
Advanced Agent Features:
Multi-step reasoning with DeepSeek's advanced capabilities
Memory systems that learn from user interactions
Task planning and execution workflows
Context-aware decision making
Voice-activated commands with speech recognition
Proactive suggestions and notifications
Secure offline processing for privacy
Why This Course is Essential:
Cutting-Edge Technology - AI agents are the fastest advancing technology in 2025 Gartner Hype Cycle Identifies Top AI Innovations in 2025
Future-Proof Skills - Build apps that compete with industry leaders
Real Business Value - Create AI agents people will pay for
Complete Framework - Reusable patterns for any agent type
No API Limits - DeepSeek's cost-effective approach saves money
Technologies You'll Master:
DeepSeek R1 - Advanced reasoning and planning
Flutter Agent Architecture - Scalable AI agent patterns
State Management - Complex agent workflows
Memory Systems - Persistent learning capabilities
Multi-modal Integration - Voice, text, and visual inputs
Performance Optimization - Fast, responsive AI experiences
Market Opportunity: By 2025, over 75% of mobile interactions will be AI-powered Top AI Trends in Mobile Apps for 2025 : What Businesses Need to Know, and AI agent apps are leading this transformation. Companies are investing billions in agent technology - this is your chance to get ahead of the curve.
Perfect For:
Flutter developers ready for the AI agent revolution
Entrepreneurs building next-gen AI products
Mobile developers wanting cutting-edge skills
Anyone excited about autonomous AI technology
Course Outcomes: By completion, you'll have built 3 production-ready AI agent apps plus the knowledge to create any type of intelligent agent. Whether you're building for clients, starting a business, or joining an AI company - you'll have the skills everyone wants.
Limited Time: Get ahead of the AI agent boom!
Enroll now and build the autonomous apps that will define 2025!