Leveraging AI in a Flutter Application

  • CategoryOther
  • TypeTutorials
  • LanguageEnglish
  • Total size343.7 MB
  • Uploaded Byfreecoursewb
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  • Last checkedApr. 04th '25
  • Date uploadedApr. 03rd '25
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Infohash : 894A295C90A606D7B6CBE2DCBF37F116F688743A

Leveraging AI in a Flutter Application

https://DevCourseWeb.com

Released 3/2025
By Simone Alessandria
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Advanced | Genre: eLearning | Language: English + subtitle | Duration: 1h 55m | Size: 366 MB

Machine learning and AI have become an essential tool all developers should leverage while developing apps. This course will teach you how to use Firebase ML tools and Gemini from a Flutter app to perform real world tasks.

Machine learning and artificial intelligence are fascinating technologies, but using them for your apps might seem overwhelming. In this course, Leveraging AI in a Flutter Application, you’ll learn to use Firebase machine learning and Gemini AI in your apps. First, you’ll explore configuring your app and see the different tools you can use. Next, you’ll discover how to recognize text, barcodes, and images. Finally, you’ll learn how to send prompts to the Gemini API and easily extract data from pictures of receipts taken from your device. When you’re finished with this course, you’ll have the skills and knowledge of Flutter needed to successfully use machine learning and AI in your apps.

Files:

[ DevCourseWeb.com ] Leveraging AI in a Flutter Application
  • Get Bonus Downloads Here.url (0.2 KB)
    • ~Get Your Files Here ! 1. Working with Flutter, ML, and AI
    • 1. Flutter and AI.mp4 (7.9 MB)
    • 1. Flutter and AI.vtt (3.9 KB)
    • 2. Understanding AI Terminology.mp4 (7.6 MB)
    • 2. Understanding AI Terminology.vtt (5.4 KB)
    • 3. Introducing the Tools - MLKit and Gemini AI.mp4 (7.1 MB)
    • 3. Introducing the Tools - MLKit and Gemini AI.vtt (4.7 KB)
    • 4. Setting up Your Flutter Project.mp4 (10.2 MB)
    • 4. Setting up Your Flutter Project.vtt (4.2 KB)
    2. Using ML Kit for Text and Barcode
    • 1. Using ImagePicker.mp4 (31.1 MB)
    • 1. Using ImagePicker.vtt (8.6 KB)
    • 2. Recognizing Text with Google ML Kit.mp4 (22.1 MB)
    • 2. Recognizing Text with Google ML Kit.vtt (8.2 KB)
    • 3. Recognizing Barcodes.mp4 (21.1 MB)
    • 3. Recognizing Barcodes.vtt (6.4 KB)
    • 4. Identifying Languages in a Text.mp4 (18.6 MB)
    • 4. Identifying Languages in a Text.vtt (6.5 KB)
    • 5. Extracting Entities.mp4 (19.2 MB)
    • 5. Extracting Entities.vtt (6.6 KB)
    3. Using ML Kit for Images and Introducing LiteRT
    • 1. Recognizing Objects in Images.mp4 (20.2 MB)
    • 1. Recognizing Objects in Images.vtt (6.9 KB)
    • 2. Using Face Detection.mp4 (21.9 MB)
    • 2. Using Face Detection.vtt (7.7 KB)
    • 3. Introducing LiteRT (TensorFlow Lite).mp4 (10.0 MB)
    • 3. Introducing LiteRT (TensorFlow Lite).vtt (5.3 KB)
    • 4. Using a Custom Model.mp4 (22.3 MB)
    • 4. Using a Custom Model.vtt (6.7 KB)
    4. Creating Prompts
    • 1. Prompt Engineering.mp4 (14.4 MB)
    • 1. Prompt Engineering.vtt (7.2 KB)
    • 2. Creating a Prompt.mp4 (12.2 MB)
    • 2. Creating a Prompt.vtt (7.6 KB)
    • 3. Using Gemini from a Flutter App.mp4 (13.5 MB)
    • 3. Using Gemini from a Flutter App.vtt (5.2 KB)
    5. Using Gemini
    • 1. Generating Content with Gemini AI.mp4 (7.2 MB)
    • 1. Generating Content with Gemini AI.vtt (4.2 KB)
    • 2. Setting up the Model and Prompt.mp4 (10.3 MB)
    • 2. Setting up the Model and Prompt.vtt (3.9 KB)
    • 3. Analyzing a Receipt.mp4 (17.8 MB)
    • 3. Analyzing a Receipt.vtt (4.7 KB)
    • 4. Reducing the Image Size.mp4 (20.4 MB)
    • 4. Reducing the Image Size.vtt (6.5 KB)
    • 5. Creating Interactive Propmpts.mp4 (20.8 MB)
    • 5. Creating Interactive Propmpts.vtt (6.2 KB)
    • 6. Whats Next.mp4 (7.9 MB)
    • 6. Whats Next.vtt (3.9 KB)
    • Bonus Resources.txt (0.1 KB)
    • playlist.m3u (1.4 KB)

Code:

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