Smart Research Assistant

Contact: [email protected] | LinkedIn

Overview

An AI-powered full-stack web app that helps startup founders, investors, and professionals quickly research a company and prepare for meetings.

Key Features:

• Company search using Tavily

• Summary generation using large language models

• Team background if available in public sources

• Market & competitor insights

• Auto-generated smart questions for founders or investors

Table of Contents

• Overview
• Setup
• Architecture

Setup

Show Setup Details

Prerequisites

• Python 3.10+
• uv 0.7+
• Langchain 3+
• Git 2.30+

Instructions

1. Clone the Repository:

   git clone https://github.com/degisew/smart_research_assistant.git
   cd event_ticksmart_research_assistant

2. Configure Environment:

   Create a .env file with-in your root project directory and store secure values.

   Example .env:

   # API Keys
    TAVILY_API_KEY=your_key
    GROQ_API_KEY=your_key

   • Local Development:

      # lInstall uv
      curl -Ls https://astral.sh/uv/install.sh | sh
     
      # If you have pipx installed n your system,
      pipx install uv
     
      # create virtual environment
      uv venv       # Creates a virtual environment
      uv pip sync   # Installs dependencies from pyproject.toml
     
      uv run main.py # run the flask app

   Access: http://127.0.0.1:5000/

Architecture

Tech Stack: Python, Flask, Langchain, Groq

License

MIT License. See LICENSE.

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Built by Degisew Mengist

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