CircuitSense AI - Component Selection Assistant

A simple Python Flask web application that helps electronics and robotics students select the right components for their projects using Gemini AI.

Features

• Requirement Analysis: Describe your project requirement (e.g., "Drive DC motor with ESP32").
• AI-Powered Suggestions: Gets recommendations from Google's Gemini AI including:
  • Suitable components
  • Why they are appropriate
  • Key specifications to check
  • Common beginner mistakes
• Clean UI: Minimal and modern interface.
• Error Handling: Graceful handling of API errors and empty inputs.

Prerequisites

• Python 3.8 or higher
• A Google Cloud Project with the Gemini API enabled
• A Gemini API Key

Setup

1. Clone or Download the repository to your local machine.

2. Install Dependencies:

   pip install -r requirements.txt

3. Configure Environment Variables: Create a .env file in the project root and add your Gemini API key:

   GEMINI_API_KEY=your_api_key_here
   

4. Run the Application:

   python app.py

5. Access the App: Open your browser and navigate to http://127.0.0.1:5000.

Usage

1. Enter your project requirement in the text box.
2. Click "Get Suggestions".
3. Review the AI-generated component recommendations and advice.