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Day 5: SVNIT FDP on Generative & Agentic AI - Email responding agent using Lindy tool

🔴 SVNIT FDP on Generative & Agentic AI | To create a email responding agent using Lindy tool | Hands-on Session

This video is part of the SVNIT Faculty Development Program (FDP) on Generative & Agentic AI, focusing on the Fundamentals of Agentic AI with a practical, hands-on demonstration.

In this session, participants explore how Agentic AI systems function, how autonomous agents make decisions, and how transformer models can be applied to real-world intelligent systems.

🚀 Key Topics Covered:
What is Agentic AI and how it differs from traditional AI
Core components of intelligent agents
Agent perception, reasoning, planning, and action
Role of Transformer models in autonomous AI agents
Real-world applications of Agentic AI systems

🧠 Hands-on Implementation:
Building a Smart Vacuum Cleaning Agent
Designing agent behavior using Transformer-based architectures
Simulating environment interaction and autonomous decision-making

This FDP session is highly beneficial for faculty members, researchers, PhD scholars, engineering students, and AI enthusiasts interested in Generative AI, Agentic Systems, Autonomous Agents, and Intelligent Automation.

🏫 Organized By:
Department of Computer Science & Engineering, Sardar Vallabhbhai National Institute of Technology (SVNIT), Surat

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Video Timestamps (Chapters)
00:00 - Introduction and Day 5 Agenda Overview
05:15 - AI Research Tools: City.ai and SciSpace
09:45 - Practical Demo: AI Virtual Assistant Agent (Python)
12:30 - Code Walkthrough: Python Libraries for Speech and Browsing
16:45 - Implementing Logic: Time-Based Greetings and Execution Queries
21:00 - Testing System Commands: Opening GitHub, Google, and YouTube
23:15 - Building User Interfaces for Agents using Gradio
26:15 - AI Tools for Writing and Research: Quillbot and Borium
27:30 - Project 2: Smart Vacuum Cleaner Agent (Tkinter GUI)
31:45 - Logic for Obstacle Handling and Tile Cleaning
34:45 - Live Simulation: Smart Vacuum Cleaner Movement and Speed Controls
38:15 - Presentation and Design Tools: Gamma.ai and Canva Portfolios
42:15 - Introduction to Agentic Automation: N8N vs. Lindy.ai
46:30 - Lindy.ai Workflow: Trigger, Knowledge, and Action Concepts
51:00 - Step-by-Step: Creating an Email Responding Agent
55:45 - Q&A Session and LinkedIn Community Discussion

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