✉️ Intelligent Email Studio

An AI-powered communication workspace designed to streamline professional email workflows through intelligent automation, contextual understanding, and polished content generation.

Built using Google's Gemini 2.5 Flash and Groq-powered Llama 3.1 failover routing, the platform helps users analyze incoming emails, draft professional responses, and generate context-aware replies efficiently.

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🚀 Features

📁 Analyze Framework

Transforms raw, unstructured emails into a clean and organized metadata dashboard by extracting:

• Email Category
• Priority Level
• Action Items
• Assigned Tasks
• Suggested Follow-ups & Reminders

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✍️ Draft Composer

Generates professional email drafts from simple prompts or contextual intent using multiple communication tones such as:

• Professional
• Formal
• Friendly
• Persuasive
• Concise

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🔄 Smart Thread Reply

Analyzes ongoing conversation threads and generates contextual, human-like replies that maintain conversation flow naturally.

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🎯 Benefits

• Save time managing emails
• Generate polished communication instantly
• Organize unstructured inbox content
• Improve productivity with AI-assisted workflows
• Maintain professional communication quality

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🛠️ Tech Stack

Technology	Purpose
Python	Core application logic
Streamlit	Interactive frontend UI
Google Gemini 2.5 Flash	Primary AI model
Groq Llama 3.1	Failover AI routing
TOML Secrets Vault	Secure API key management

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🧠 AI Architecture

The application uses a resilient dual-model AI workflow:

1. Gemini 2.5 Flash handles primary generation and analysis tasks.
2. If unavailable, the system automatically switches to Groq Llama 3.1 for uninterrupted operation.

This architecture improves reliability, response continuity, and overall user experience.

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📦 Installation & Setup

1️⃣ Clone the Repository

git clone <https://intelligent-email-studio.streamlit.app/>
cd intelligent-email-studio

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2️⃣ Install Dependencies

Ensure Python is installed, then run:

pip install -r requirements.txt

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🔐 Environment Variables

Create a .streamlit/secrets.toml file in the project root directory:

GEMINI_API_KEY = "YOUR_GEMINI_API_KEY"
GROQ_API_KEY = "YOUR_GROQ_API_KEY"

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▶️ Run the Application

streamlit run app.py

The application will launch locally in your browser.

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👩‍💻 Author

Aqsa Jamali

Computer Science Student passionate about AI-powered applications, intelligent systems, and modern web experiences.

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📄 License

This project is licensed under the MIT License.