README.md

metadata

title: Scientific Content Generation Agent
emoji: 🔬
colorFrom: blue
colorTo: purple
sdk: gradio
sdk_version: 6.0.1
app_file: app.py
pinned: false
license: mit

🔬 Scientific Content Generation Agent

An AI-powered multi-agent system that generates research-backed content (blog articles, LinkedIn posts, Twitter threads) from scientific topics. Built with Google's Agent Development Kit (ADK).

Features

• 🔬 Deep Research: Searches academic papers (arXiv) and web sources (DuckDuckGo)
• 📝 Multi-Platform Output: Blog, LinkedIn, and Twitter content
• 🎯 Professional Credibility: SEO-optimized for recruiter visibility
• 📚 Proper Citations: APA-formatted references
• 👤 User Profiles: Personalized content based on your expertise
• 💾 Session Management: Resume conversations and track history

How to Use

1. Generate Content Tab: Enter a research topic and click Generate
2. Profile Editor Tab: Customize your professional profile
3. Session History Tab: View and resume past generations
4. Settings Tab: Configure API key and preferences

Requirements

⚠️ Important: You need a Google API key to use this app.

Get your free API key from: Google AI Studio

Then add it in the Settings Tab or set it as a Space secret named GOOGLE_API_KEY.

Architecture

Multi-agent pipeline with 5 specialized agents:

1. ResearchAgent: Searches papers and trends
2. StrategyAgent: Plans content approach
3. ContentGeneratorAgent: Creates platform-specific content
4. LinkedInOptimizationAgent: Optimizes for opportunities
5. ReviewAgent: Adds citations and validates

Local Development

git clone https://huggingface.co/spaces/YOUR_USERNAME/scientific-content-agent
cd scientific-content-agent
pip install -r requirements.txt
python app.py

About

Built for the Google/Kaggle Agents Intensive Week capstone project.

• Framework: Google Agent Development Kit (ADK)
• Model: Gemini 2.0 Flash
• UI: Gradio 6.0

License

MIT License - See LICENSE file for details