Market Compitator Analysis

The Market Compitator Research Analysis uses fastAPI and leverages openAI to get the compitators of perticular company based on the sector it belongs. We use fastAPI to doploy the apis and postgress sql to store the database. We initilally store some records of some dummy companies into a relation, then uses the information to promt openAI model to get the compitators based on sector and address information.

Installation

1. Clone the repository:

   git clone https://github.com/younis-ali/market-research-agent.git
   

2. Setup environment

   python3 -m venv .venv
   source .venv/bin/activate
   pip install --upgrade pip
   setup  OPEN_AI_KEY as enivironment variable
   

3. Install the required dependencies:

   pip install -r requirements.txt
   

4. Locate /resources/config.json and setup postgress database configuration.

       "host": "your_host"
       "port": "your_port"
       "database": "your_database"
       "user": "your_username"
       "password": "your_password"
   

5. What is in database and its purpose?. The schema of the orginization relation is organization (id SERIAL PRIMARY KEY, name VARCHAR(255), sector VARCHAR(255), address TEXT). We are using this relation to store the companies. Later we are using the comapny sector to get the compitators using openAI text generation.

Usage

1. Execute the command
   1. uvicorn main:app --port 8001
   2. Visit http://127.0.0.1:8001/

Future Scope

1. Integration with external databases.
2. Use langchain for prompt engineering.
3. Integration with ERP Systems

Screen Shots

1. Database snapshots

2. User Interface