chore: update all the README.md about how to go to the desired project directory

README.md

@@ -99,7 +99,7 @@ A curated collection of awesome LLM apps built with RAG and AI agents. This repo
 2. **Navigate to the desired project directory**
 
     ```bash 
-    cd awesome-llm-apps/chat_with_gmail 
+    cd awesome-llm-apps/chat_with_X_tutorials/chat_with_gmail
     ```
 
 3. **Install the required dependencies**

advanced_tools_frameworks/gemini_multimodal_chatbot/README.md

@@ -12,6 +12,7 @@ This repository contains a Streamlit application that demonstrates a multimodal
 
 ```bash
 git clone https://github.com/Shubhamsaboo/awesome-llm-apps.git
+cd awesome-llm-apps/advanced_tools_frameworks/gemini_multimodal_chatbot
 ```
 2. Install the required dependencies:
 

advanced_tools_frameworks/llm_router_app/README.md

@@ -16,6 +16,7 @@ This Streamlit application demonstrates the use of RouteLLM, a system that intel
 
 ```bash
 git clone https://github.com/Shubhamsaboo/awesome-llm-apps.git
+cd awesome-llm-apps/advanced_tools_frameworks/llm_router_app
 ```
 2. Install the required dependencies:
 

advanced_tools_frameworks/local_chatgpt_clone/README.md

@@ -12,6 +12,7 @@ This project demonstrates how to build a ChatGPT clone using the Llama-3 model r
 
 ```bash
 git clone https://github.com/Shubhamsaboo/awesome-llm-apps.git
+cd awesome-llm-apps/advanced_tools_frameworks/local_chatgpt_clone
 ```
 2. Install the required dependencies:
 

advanced_tools_frameworks/local_llama3.1_tool_use/README.md

@@ -13,7 +13,7 @@ This Streamlit app demonstrates function calling with the local Llama3 model usi
 
 ```bash
 git clone https://github.com/Shubhamsaboo/awesome-llm-apps.git
-cd local-llama3-tool-use
+cd awesome-llm-apps/advanced_tools_frameworks/local_llama3.1_tool_use
 ```
 2. Install the required dependencies:
 

advanced_tools_frameworks/web_scrapping_ai_agent/README.md

@@ -12,6 +12,7 @@ This Streamlit app allows you to scrape a website using OpenAI API and the scrap
 
 ```bash
 git clone https://github.com/Shubhamsaboo/awesome-llm-apps.git
+cd awesome-llm-apps/advanced_tools_frameworks/web_scrapping_ai_agent
 ```
 2. Install the required dependencies:
 

advanced_tools_frameworks/web_search_ai_assistant/README.md

@@ -12,6 +12,7 @@ This Streamlit app combines the power of search engines and LLMs to provide you
 
 ```bash
 git clone https://github.com/Shubhamsaboo/awesome-llm-apps.git
+cd awesome-llm-apps/advanced_tools_frameworks/web_search_ai_assistant
 ```
 2. Install the required dependencies:
 

ai_agent_tutorials/ai_customer_support_agent/README.md

@@ -13,6 +13,7 @@ This Streamlit app implements an AI-powered customer support agent for synthetic
 1. Clone the GitHub repository
 ```bash
 git clone https://github.com/Shubhamsaboo/awesome-llm-apps.git
+cd awesome-llm-apps/ai_agent_tutorials/ai_customer_support_agent
 ```
 
 2. Install the required dependencies:

ai_agent_tutorials/ai_finance_agent_team/README.md

@@ -15,6 +15,7 @@ This script demonstrates how to build a team of AI agents that work together as
 1. Clone the GitHub repository
 ```bash
 git clone https://github.com/Shubhamsaboo/awesome-llm-apps.git
+cd awesome-llm-apps/ai_agent_tutorials/ai_finance_agent_team
 ```
 
 2. Install the required dependencies:

ai_agent_tutorials/ai_health_fitness_agent/README.md

@@ -38,7 +38,8 @@ Before anything else, Please get a free Gemini API Key provided by Google AI her
 1. **Clone the Repository**:
    ```bash
    git clone https://github.com/Shubhamsaboo/awesome-llm-apps.git
-   cd ai_agent_tutorials```
+   cd awesome-llm-apps/ai_agent_tutorials/ai_health_fitness_agent
+   ```
 
 2. **Install the dependencies**
     ```bash

ai_agent_tutorials/ai_investment_agent/README.md

@@ -13,6 +13,7 @@ This Streamlit app is an AI-powered investment agent that compares the performan
 
 ```bash
 git clone https://github.com/Shubhamsaboo/awesome-llm-apps.git
+cd awesome-llm-apps/ai_agent_tutorials/ai_investment_agent
 ```
 2. Install the required dependencies:
 

ai_agent_tutorials/ai_journalist_agent/README.md

@@ -12,6 +12,7 @@ This Streamlit app is an AI-powered journalist agent that generates high-quality
 
 ```bash
 git clone https://github.com/Shubhamsaboo/awesome-llm-apps.git
+cd awesome-llm-apps/ai_agent_tutorials/ai_journalist_agent
 ```
 2. Install the required dependencies:
 

ai_agent_tutorials/ai_legal_agent_team/README.md

@@ -26,7 +26,7 @@ A Streamlit application that simulates a full-service legal team using multiple
    ```bash
    # Clone the repository
    git clone https://github.com/Shubhamsaboo/awesome-llm-apps.git
-   cd ai_legal_agent_team
+   cd awesome-llm-apps/ai_agent_tutorials/ai_legal_agent_team
    
    # Install dependencies
    pip install -r requirements.txt

ai_agent_tutorials/ai_meeting_agent/README.md

@@ -14,6 +14,7 @@ This Streamlit application leverages multiple AI agents to create comprehensive
 
 ```bash
 git clone https://github.com/Shubhamsaboo/awesome-llm-apps.git
+cd awesome-llm-apps/ai_agent_tutorials/ai_meeting_agent
 ```
 2. Install the required dependencies:
 

ai_agent_tutorials/ai_movie_production_agent/README.md

@@ -12,6 +12,7 @@ This Streamlit app is an AI-powered movie production assistant that helps bring
 
 ```bash
 git clone https://github.com/Shubhamsaboo/awesome-llm-apps.git
+cd awesome-llm-apps/ai_agent_tutorials/ai_movie_production_agent
 ```
 2. Install the required dependencies:
 

ai_agent_tutorials/ai_personal_finance_agent/README.md

@@ -12,6 +12,7 @@ This Streamlit app is an AI-powered personal finance planner that generates pers
 
 ```bash
 git clone https://github.com/Shubhamsaboo/awesome-llm-apps.git
+cd awesome-llm-apps/ai_agent_tutorials/ai_personal_finance_agent
 ```
 2. Install the required dependencies:
 

ai_agent_tutorials/ai_services_agency/README.md

@@ -64,7 +64,7 @@ Before anything else, Please get your OpenAI API Key here: https://platform.open
 1. **Clone the Repository**:
    ```bash
    git clone https://github.com/Shubhamsaboo/awesome-llm-apps.git
-   cd ai_agent_tutorials
+   cd awesome-llm-apps/ai_agent_tutorials/ai_services_agency
    ```
 
 2. **Install the dependencies**:

ai_agent_tutorials/ai_startup_trend_analysis_agent/README.md

@@ -13,7 +13,7 @@ The AI Startup Trend Analysis Agent is tool for budding entrepreneurs that gener
 1. **Clone the repository**:
    ```bash
    git clone https://github.com/Shubhamsaboo/awesome-llm-apps.git 
-   cd ai_agent_tutorials/ai_business_insider_agent
+   cd awesome-llm-apps/ai_agent_tutorials/ai_startup_trend_analysis_agent
    ```
 
 2. **Create and activate a virtual environment**:

ai_agent_tutorials/ai_travel_agent/README.MD

@@ -12,6 +12,7 @@ This Streamlit app is an AI-powered travel Agent that generates personalized tra
 
 ```bash
 git clone https://github.com/Shubhamsaboo/awesome-llm-apps.git
+cd awesome-llm-apps/ai_agent_tutorials/ai_travel_agent
 ```
 2. Install the required dependencies:
 

ai_agent_tutorials/local_news_agent_openai_swarm/README.md

@@ -18,7 +18,7 @@ This Streamlit application implements a sophisticated news processing pipeline u
 1. Clone the GitHub repository
 ```bash
 git clone https://github.com/your-username/ai-news-processor.git
-cd local_news_agent_openai_swarm
+cd awesome-llm-apps/ai_agent_tutorials/local_news_agent_openai_swarm
 ```
 
 2. Install the required dependencies:

ai_agent_tutorials/multi_agent_researcher/README.md

@@ -12,6 +12,7 @@ This Streamlit app empowers you to research top stories and users on HackerNews
 
 ```bash
 git clone https://github.com/Shubhamsaboo/awesome-llm-apps.git
+cd awesome-llm-apps/ai_agent_tutorials/multi_agent_researcher
 ```
 2. Install the required dependencies:
 

ai_agent_tutorials/multimodal_ai_agent/README.md

@@ -16,7 +16,7 @@ A Streamlit application that combines video analysis and web search capabilities
 
 ```bash
 git clone https://github.com/Shubhamsaboo/awesome-llm-apps.git
-cd multimodal_ai_agents
+cd awesome-llm-apps/ai_agent_tutorials/multimodal_ai_agent
 ```
 2. Install the required dependencies:
 

ai_agent_tutorials/multimodal_design_agent_team/README.md

@@ -25,7 +25,7 @@ This application leverages multiple specialized AI agents to provide comprehensi
    ```bash
    # Clone the repository
    git clone https://github.com/Shubhamsaboo/awesome-llm-apps.git
-   cd ai_agent_tutorials/multimodal_design_agent_team
+   cd awesome-llm-apps/ai_agent_tutorials/multimodal_design_agent_team
 
    # Create and activate virtual environment (optional)
    python -m venv venv

ai_agent_tutorials/xai_finance_agent/README.md

@@ -14,12 +14,13 @@ This application creates a financial analysis agent powered by xAI's Grok model,
 1. Clone the GitHub repository
 ```bash
 git clone https://github.com/Shubhamsaboo/awesome-llm-apps.git
+cd awesome-llm-apps/ai_agent_tutorials/xai_finance_agent
 ```
 
 2. Install the required dependencies:
 
 ```bash
-cd ai_agent_tutorials/xai_finance_agent
+cd awesome-llm-apps/ai_agent_tutorials/xai_finance_agent
 pip install -r requirements.txt
 ```
 

chat_with_X_tutorials/chat_with_github/README.md

@@ -14,6 +14,7 @@ LLM app with RAG to chat with GitHub Repo in just 30 lines of Python Code. The a
 
 ```bash
 git clone https://github.com/Shubhamsaboo/awesome-llm-apps.git
+cd awesome-llm-apps/chat_with_X_tutorials/chat_with_github
 ```
 2. Install the required dependencies:
 

chat_with_X_tutorials/chat_with_gmail/README.md

@@ -14,6 +14,7 @@ LLM app with RAG to chat with Gmail in just 30 lines of Python Code. The app use
 
 ```bash
 git clone https://github.com/Shubhamsaboo/awesome-llm-apps.git
+cd awesome-llm-apps/chat_with_X_tutorials/chat_with_gmail
 ```
 2. Install the required dependencies
 

chat_with_X_tutorials/chat_with_pdf/README.md

@@ -14,6 +14,7 @@ LLM app with RAG to chat with PDF in just 30 lines of Python Code. The app uses
 
 ```bash
 git clone https://github.com/Shubhamsaboo/awesome-llm-apps.git
+cd awesome-llm-apps/chat_with_X_tutorials/chat_with_pdf
 ```
 2. Install the required dependencies
 

chat_with_X_tutorials/chat_with_research_papers/README.md

@@ -12,6 +12,7 @@ This Streamlit app enables you to engage in interactive conversations with arXiv
 
 ```bash
 git clone https://github.com/Shubhamsaboo/awesome-llm-apps.git
+cd awesome-llm-apps/chat_with_X_tutorials/chat_with_research_papers
 ```
 2. Install the required dependencies:
 

chat_with_X_tutorials/chat_with_substack/README.md

@@ -12,6 +12,7 @@ Streamlit app that allows you to chat with a Substack newsletter using OpenAI's
 
 ```bash
 git clone https://github.com/Shubhamsaboo/awesome-llm-apps.git
+cd awesome-llm-apps/chat_with_X_tutorials/chat_with_substack
 ```
 2. Install the required dependencies:
 

chat_with_X_tutorials/chat_with_youtube_videos/README.md

@@ -14,6 +14,7 @@ LLM app with RAG to chat with YouTube Videos in just 30 lines of Python Code. Th
 
 ```bash
 git clone https://github.com/Shubhamsaboo/awesome-llm-apps.git
+cd awesome-llm-apps/chat_with_X_tutorials/chat_with_youtube_videos
 ```
 2. Install the required dependencies:
 

llm_apps_with_memory_tutorials/ai_arxiv_agent_memory/README.md

@@ -14,6 +14,7 @@ This Streamlit app implements an AI-powered research assistant that helps users
 1. Clone the GitHub repository
 ```bash
 git clone https://github.com/Shubhamsaboo/awesome-llm-apps.git
+cd awesome-llm-apps/llm_apps_with_memory_tutorials/ai_arxiv_agent_memory
 ```
 
 2. Install the required dependencies:

llm_apps_with_memory_tutorials/ai_travel_agent_memory/README.md

@@ -13,6 +13,7 @@ This Streamlit app implements an AI-powered travel assistant that remembers user
 1. Clone the GitHub repository
 ```bash
 git clone https://github.com/Shubhamsaboo/awesome-llm-apps.git
+cd awesome-llm-apps/llm_apps_with_memory_tutorials/ai_travel_agent_memory
 ```
 
 2. Install the required dependencies:

llm_apps_with_memory_tutorials/llm_app_personalized_memory/README.md

@@ -14,6 +14,7 @@ This Streamlit app is an AI-powered chatbot that uses OpenAI's GPT-4o model with
 1. Clone the GitHub repository
 ```bash
 git clone https://github.com/Shubhamsaboo/awesome-llm-apps.git
+cd awesome-llm-apps/llm_apps_with_memory_tutorials/llm_app_personalized_memory
 ```
 
 2. Install the required dependencies:

llm_apps_with_memory_tutorials/local_chatgpt_with_memory/README.md

@@ -13,12 +13,13 @@ This Streamlit application implements a fully local ChatGPT-like experience usin
 1. Clone the GitHub repository
 ```bash
 git clone https://github.com/Shubhamsaboo/awesome-llm-apps.git
+cd awesome-llm-apps/llm_apps_with_memory_tutorials/local_chatgpt_with_memory
 ```
 
 2. Install the required dependencies:
 
 ```bash
-cd rag_tutorials/local_rag_agent
+cd awesome-llm-apps/rag_tutorials/local_rag_agent
 pip install -r requirements.txt
 ```
 

llm_apps_with_memory_tutorials/multi_llm_memory/README.md

@@ -17,6 +17,7 @@ This Streamlit application demonstrates a multi-LLM system with a shared memory
 1. Clone the GitHub repository
 ```bash
 git clone https://github.com/Shubhamsaboo/awesome-llm-apps.git
+cd awesome-llm-apps/llm_apps_with_memory_tutorials/multi_llm_memory
 ```
 
 2. Install the required dependencies:

llm_finetuning_tutorials/llama3.2_finetuning/README.md

@@ -15,7 +15,7 @@ This script demonstrates how to finetune the Llama 3.2 model using the [Unsloth]
 
 ```bash
 git clone https://github.com/Shubhamsaboo/awesome-llm-apps.git
-cd llama3.2_finetuning
+cd awesome-llm-apps/llm_finetuning_tutorials/llama3.2_finetuning
 ```
 
 2. Install the required dependencies:

rag_tutorials/agentic_rag/README.md

@@ -14,6 +14,7 @@ This script demonstrates how to build a Retrieval-Augmented Generation (RAG) age
 1. Clone the GitHub repository
 ```bash
 git clone https://github.com/Shubhamsaboo/awesome-llm-apps.git
+cd awesome-llm-apps/rag_tutorials/agentic_rag
 ```
 
 2. Install the required dependencies:

rag_tutorials/autonomous_rag/README.md

@@ -14,6 +14,7 @@ Features
 1. Clone the GitHub repository
 ```bash
 git clone https://github.com/Shubhamsaboo/awesome-llm-apps.git
+cd awesome-llm-apps/rag_tutorials/autonomous_rag
 ```
 
 2. Install the required dependencies:

rag_tutorials/hybrid_search_rag/README.md

@@ -44,7 +44,7 @@ You'll need the following API keys and database setup:
 1. **Clone the Repository**:
    ```bash
    git clone https://github.com/Shubhamsaboo/awesome-llm-apps.git
-   cd rag_tutorials/hybrid_search_rag
+   cd awesome-llm-apps/rag_tutorials/hybrid_search_rag
    ```
 
 2. **Install Dependencies**:

rag_tutorials/llama3.1_local_rag/README.md

@@ -13,6 +13,7 @@ Streamlit app that allows you to chat with any webpage using local Llama-3.1 and
 
 ```bash
 git clone https://github.com/Shubhamsaboo/awesome-llm-apps.git
+cd awesome-llm-apps/rag_tutorials/llama3.1_local_rag
 ```
 2. Install the required dependencies:
 

rag_tutorials/local_hybrid_search_rag/README.md

@@ -62,6 +62,8 @@ These models offer a good balance of performance and resource usage, and have be
 
 3. **Install Dependencies**:
    ```bash
+   git clone https://github.com/Shubhamsaboo/awesome-llm-apps.git
+   cd awesome-llm-apps/rag_tutorials/local_hybrid_search_rag
    pip install -r requirements.txt
    ```
 

rag_tutorials/local_rag_agent/README.md

@@ -19,7 +19,7 @@ git clone https://github.com/Shubhamsaboo/awesome-llm-apps.git
 2. Install the required dependencies:
 
 ```bash
-cd rag_tutorials/local_rag_agent
+cd awesome-llm-apps/rag_tutorials/local_rag_agent
 pip install -r requirements.txt
 ```
 

rag_tutorials/rag-as-a-service/README.md

@@ -13,7 +13,7 @@ Build and deploy a production-ready Retrieval-Augmented Generation (RAG) service
 1. Clone the GitHub repository
 ```bash
 git clone https://github.com/Shubhamsaboo/awesome-llm-apps.git
-cd rag-as-a-service
+cd awesome-llm-apps/rag_tutorials/rag-as-a-service
 ```
 
 2. Install the required dependencies: