Build a GitHub AI Agent with Model Context Protocol (MCP) & LangGraph

RAG Explained + Built From Scratch — LangChain, LangGraph | Full Project

Deploy AI Agent on Replit | Streamlit UI + LangGraph | 04/ 04 |

LangGraph Agent Build | StateGraph + ToolNode + Groq LLM | 03/04 |

LangGraph Agent — Database, Tools & Prompt From Scratch | Groq + Python | 02/ 04 |

LangGraph StateGraph Tutorial | How AI Agents ACTUALLY Work (Theory) | 01/04 |

Build an AI Grocery Agent with LangChain & Ollama (Step-by-Step)

Color Image to Grayscale Image #coding #python #ai #aiproject

Chat with Your Data (Text-to-SQL) | Talk to Your Database: Text-to-SQL with Ollama (11/11)

Building the Dashboard | Building a Streamlit Frontend with Dynamic Filters (10/11)

Storing Data Safely | Automating Data Insertion: Storing AI Results in SQLite (09/11)

The Parser Logic | Building the Parser: Converting AI Outputs to Python Dictionaries (08/11)

Building the SQL Warehouse | Database Design: Creating SQLite Tables for AI Data (07/11)

Smart Categorization Agent | Agent 2: AI Expense Categorization using Multi-Agent Logic | (06/11)

Prompt Engineering for Extraction | Agent 1: Using Ollama & Prompt Engineering to JSON (05/11)

The Eyes of the Project (OCR) | Extracting Text from Bills using Pytesseract OCR (04/11)

OpenCV Image Magic: Cleaning Messy Bill Images with OpenCV: Grayscale, Blur & Binarization (03/11)

Setting Up the Lab: Install Python, VS Code, and Ollama Locally | Setup Guide (02/11)

Project Blueprint & Workflow: Build an AI Expense Tracker | Project Overview & Architecture (1/11)

# 3/4: Scaling Your Streamlit App: Building a Multi-Page Data Science Portfolio

# 1/4: Streamlit Tutorial for Beginners : Install Python, VS Code & Why Streamlit

# 2/4: Streamlit Data Dashboard Tutorial: Build a Single Page Analytics App

# 4/4 From Code to Cloud: The Complete Guide to Deploying Streamlit Apps on the Web

H1: Part 2 - Setup VS Code + Create SQLite Database from Excel | AI Inventory Planner

H1: Part 6 - Test AI with Real User Queries | LLM Agent Output Demo

H1: Part 5 - Build Your LLM Agent in Python | Connect AI + Prompt File

H1: Part 9 - Final AI Inventory Planner Project | Telegram + Python + AI Connected

H1: Part 1- AI in Supply Chain | Build an AI Inventory Planner (Excel + Python + Telegram + Ollama)

H1: Part 3 - Prompt Engineering for AI in Supply Chain | Teach AI to Write SQL Queries

H1: Part 4 - Install Ollama LLM | Run AI Locally for Inventory Planner

H1: Part 8 - Create Telegram Bot & Get Token | Connect AI with Python

H1: Part 7 - Backend Integration Explained | run2_app.py Complete Workflow

S1: Part 9 - Final AI Inventory Planner Project | Telegram + Python + AI Connected

S1: Part 8 - Create Telegram Bot & Get Token | Connect AI with Python

S1: Part 7 - Backend Integration Explained | run2_app.py Complete Workflow

S1: Part 6 - Test AI with Real User Queries | LLM Agent Output Demo

S1: Part 5 - Build Your LLM Agent in Python | Connect AI + Prompt File

S1: Part 4 - Install Ollama LLM | Run AI Locally for Inventory Planner

S1: Part 3 - Prompt Engineering for AI in Supply Chain | Teach AI to Write SQL Queries

S1: Part 2 - Setup VS Code + Create SQLite Database from Excel | AI Inventory Planner

S1: Part 1- AI in Supply Chain | Build an AI Inventory Planner (Excel + Python + Telegram + Ollama)

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