SmartBio-Assistant 🤖

SmartBio-Assistant‑Chatbot is a custom AI-powered web platform designed for biomedical research. It allows researchers to input biomedical queries (e.g., target discovery, protein expression) and receive comprehensive responses from multiple AI engines. These engines include ChatGPT, Claude, Gemini, Mistral, XAI, and DeepSeek, which work in parallel to provide diverse insights and responses. The system displays side-by-side answers from all engines and provides citations where available.

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🌐 Live Website: CurieCell

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🚀 Key Features

• Multi‑Model Integration: The chatbot uses six different AI models (ChatGPT, Claude, Gemini, Mistral, XAI, and DeepSeek) to generate diverse responses for biomedical queries.
• Parallel Processing: All models run simultaneously, and their answers are aggregated and displayed side by side.
• Comprehensive Responses: Each AI engine brings its unique strengths to the table, providing a rich and multi-faceted view of biomedical questions.
• Citations and References: When applicable, the system provides citations to sources for the answers or mentions that they were generated from the AI’s trained knowledge base.
• Modular and Extensible: You can easily integrate additional models or tweak the existing configurations as required for your research.
• Test Suite Included: Basic tests (test.py, test_main_function.py) to verify core functionality.

🛠️ Getting Started

Follow these instructions to get the project running on your local machine.

Prerequisites

• Python 3.8+: Ensure you have Python 3.8 or a newer version installed.
• API Keys: You need API keys for the various models integrated (e.g., OpenAI, Gemini, Claude, DeepSeek, XAI, and Mistral).
• (Optional) Virtual Environment: Use venv or any other virtual environment tool to manage dependencies.

Installation & Setup

1. Clone the repository

git clone https://github.com/BusraRafa/SmartBio-Assistant.git
cd BioQuery‑AI‑Chatbot

2. (Optional but recommended) Create a virtual environment

python -m venv venv

# On Windows
venv\Scripts\activate

# On macOS / Linux
source venv/bin/activate

3. Install dependencies

pip install -r requirements.txt

4. Set up your .env file for API keys

Create a .env file in the root directory and add the following (replace with your actual keys):

GEMINI_API_KEY=your_gemini_api_key 
CLAUDE_API_KEY=your_claude_api_key 
OPENAI_API_KEY=your_openai_api_key 
DEEPSEEK_API_KEY=your_deepseek_api_key 
XAI_API_KEY=your_xai_api_key 
MISTRAL_API_KEY=your_mistral_api_key