CSV Reader Agent

Overview

The CSV Reader Agent is designed to provide comprehensive analysis of data from CSV files. It performs data overview, descriptive statistics, feature analysis, data quality assessment, and provides market insights.

Features

• Data Overview: Examines the basic structure of the dataset, reports the number of rows and columns, identifies data types, and checks for missing values.
• Descriptive Statistics: Calculates key statistics, identifies outliers, and analyzes the distribution of key variables.
• Feature Analysis: Identifies key features impacting housing prices, analyzes correlations, and examines categorical variables.
• Data Quality Assessment: Checks for data inconsistencies, identifies potential data quality issues, and suggests data cleaning steps.
• Market Insights: Provides insights based on the data analysis.

Installation

1. Clone the repository:

   git clone https://github.com/pschoudhary-dot/phi-webseacrch-agent.git
   cd phi-webseacrch-agent

2. Create and activate a virtual environment:

   python -m venv venv
   source venv/bin/activate  # On Windows use `venv\Scripts\activate`

3. Install the required packages:

   pip install -r requirements.txt

4. Create a .env file in the root directory and add your database credentials:

   DB_URL=postgresql+psycopg://ai:ai@localhost:5532/ai
   

Usage

Run the csv-reader_agent.py script to start the agent:

python csv-reader_agent.py

Web Search Agent

Overview

The Web Search Agent is designed to assist in content research by gathering, analyzing, and summarizing information on specified topics. It conducts keyword research, identifies trending topics, collects data from reputable sources, and provides summaries and briefs to streamline the research phase for human content creators.

Features

• Keyword Research: Identifies relevant keywords and trending topics.
• Data Collection: Gathers data and insights from reputable sources.
• Summarization: Provides concise summaries and briefs for content creators.

Installation

1. Clone the repository:

   git clone https://github.com/pschoudhary-dot/phi-webseacrch-agent.git
   cd phi-webseacrch-agent

2. Create and activate a virtual environment:

   python -m venv venv
   source venv/bin/activate  # On Windows use `venv\Scripts\activate`

3. Install the required packages:

   pip install -r requirements.txt

4. Create a .env file in the root directory and add your Google API credentials:

   GOOGLE_API_KEY=your_google_api_key
   GOOGLE_ENGINE_ID=your_google_engine_id
   

Usage

Run the Multi_search_agent.py script to start the agent:

python Multi_search_agent.py