AI Multi-Modal Analysis Agent | Agentic AI Project | Euron
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In this video, "Build an AI Agent: Analyze Images, Videos & Audio Fast!" on Learning Logic with Prince Katiyar, unlock the secrets to creating a cutting-edge AI agent. Discover how to harness the power of multimodal AI models to analyze images, videos, and audio seamlessly. Whether you're uploading a photo, video, or audio file, this innovative tool provides detailed analysis, transcription, and insights—perfect for projects, skill-building, and career growth.
With step-by-step guidance, Prince Katiyar walks you through configuring APIs like Gemini and using tools like DuckDuckGo for web searches. Learn how to deploy your AI-powered application, work with advanced features such as memory-based knowledge bases, and transform raw data into actionable insights. From coding basics to advanced AI integration, this video is packed with everything you need to take your tech journey to the next level.
Don’t miss out on the chance to boost your programming expertise and explore the future of #AI and #ArtificialIntelligence! Watch now, and if you’re inspired, hit the like button, subscribe to Learning Logic, and share this video with fellow tech enthusiasts. Let’s innovate together! #coding #techupdates #SkillDevelopment #CareerJourneyTips #techjobs #programming #innovation
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CHAPTERS:
00:00 - Introduction
00:38 - How to Analyze Image
01:36 - What is Analyzing
01:55 - Analyze Image Techniques
03:34 - Analyze Video Content
06:28 - Understanding the Project Scope
07:28 - Project UI Design Principles
10:03 - Importing Pre-trained Models
10:58 - Creating a Search Tool Functionality
12:39 - Thumbnail and Audio Extractor Creation
13:27 - Video Thumbnail Extractor Development
14:30 - Audio Extractor Implementation
15:24 - Sidebar for Analysis Types
18:54 - Advanced Project Development
19:14 - Creating AI Agent Model
22:20 - New Analysis Creation Process
23:01 - Analyzing New Analysis Output
26:10 - Deploying Your Streamlit App
26:47 - Intro to Today's Topic
27:21 - Required Files for Deployment
28:10 - Deploying Application on AWS
29:15 - Running Deployed Application
30:10 - Using the Deployed Application
32:54 - Creating a Grid Layout
33:04 - App Development Process
34:43 - Displaying the Application
36:34 - Report Folder Structure Creation
37:45 - Cloning the Git Repository
38:21 - Manual Report Folder Structure
39:24 - General Folder Structure Creation
41:02 - Creating Project Files
42:05 - Code in Retirement Plan
42:59 - Final Code in Court
44:54 - Deployment Container Overview
45:53 - Deployment Container Details
47:40 - Writing Dockerfile - Part 1
49:20 - Writing Dockerfile - Part 2
50:40 - Writing Dockerfile - Part 3
53:22 - Creating Custom ECR Image
54:21 - Custom ECR Image with Dockerfile
55:30 - Initial Commit Process
56:50 - Final Code and Remote Repository
58:05 - Understanding README File
58:46 - Creating an IAM User
1:00:50 - Security Credential Creation
1:02:21 - Creating an ECR Repository
1:04:00 - New EC2 Instance Creation
1:05:20 - Initializing New EC2 Instance
1:06:40 - Inbound Rule for Security Group
1:07:52 - Customizing S3 Bucket Policy
1:09:00 - IAM User Creation Steps
1:10:15 - Connecting EC2 to Ubuntu Machine
1:12:18 - Adding Secrets to GitHub
1:14:16 - GitHub Actions Secrets Management
1:17:17 - Running Code on EC2 Instance
1:19:19 - Running Code on EC2 Instance - Continued
1:21:13 - Adding Self-hosted Runner in GitHub Actions
1:22:58 - Running Self-hosted Runner
1:24:22 - Pushing Code and App Check
1:25:25 - Updating GitHub Secret
1:28:18 - Initial Commit and Code Push
1:28:50 - Fixing Last Issues
1:30:39 - Running Final Job
1:32:01 - Project Overview
1:34:23 - Project Deployment Steps
1:34:30 - Troubleshooting Spelling Mistakes
1:34:38 - Final Zip File Provision
1:34:45 - Final Words and Summary
1:37:18 - Deleting User Accounts
1:38:04 - Deleting Instance States
1:39:00 - Wrapping Up the Project
1:39:30 - Thank You and Closing Remarks
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