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Initialize README with project details and instructions

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Add detailed project description, features, installation instructions, and future improvements.

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+ # AI Workflow Analyzer
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+
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+ An AI-powered tool that analyzes workflows, identifies inefficiencies, and suggests automation opportunities using Large Language Models.
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+
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+
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+ ## Overview
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+
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+ This project helps teams understand and improve their internal processes by leveraging AI. Users can input a workflow description, and the system returns a structured analysis including problems, automation opportunities, and AI-driven solutions.
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+
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+
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+ ## Features
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+
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+ - Analyze workflows in real time
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+ - Identify inefficiencies and bottlenecks
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+ - Suggest AI-based automation strategies
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+ - Generate prototype ideas for implementation
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+ - Export analysis as a Markdown (.md) file
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+ - Simple and interactive UI using Streamlit
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+
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+
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+ ## Demo
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+ [Live demo]()
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+
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+ Users can:
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+ 1. Enter a workflow description
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+ 2. Receive structured AI analysis
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+ 3. Download the results as a Markdown report
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+
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+
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+ ## Example Input
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+
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+ - Our engineering team manually reviews logs and writes daily summaries. This process is slow and inconsistent.
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+
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+
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+ ## Example Output
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+
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+ - **Problems**
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+ - Manual and repetitive work
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+ - Time-consuming process
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+ - Inconsistent results
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+
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+ - **Automation Opportunities**
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+ - Automate log summarization
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+ - Standardize reporting
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+
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+ - **AI Solution**
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+ - Use an LLM to extract key insights and generate summaries
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+
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+ - **Prototype Idea**
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+ - Python script that processes logs and generates summaries using an AI API
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+
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+
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+ ## Tech Stack
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+
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+ - Python
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+ - Streamlit
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+ - Google Gemini API (LLM)
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+
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+
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+ ## Project Structure
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+ ```
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+ src/
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+ β”œβ”€β”€ main.py
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+ β”œβ”€β”€ analyzer.py
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+ β”œβ”€β”€ prompts.py
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+ ```
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+
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+
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+ ## Installation
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+
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+ ```bash
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+ git clone https://github.com/YamenRM/workflow-analyzer.git
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+ cd workflow-analyzer
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+ pip install -r requirements.txt
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+ ```
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+
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+ ## Setup
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+ Set your API key as an environment variable:
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+ - Windows (PowerShell)
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+ ```
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+ setx GEMINI_API_KEY "your_api_key_here"
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+ ```
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+
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+ - Linux / macOS
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+ ```
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+ export GEMINI_API_KEY="your_api_key_here"
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+ ```
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+
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+ ### Run the App
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+ ```
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+ streamlit run main.py
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+ ```
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+
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+ ## Use Cases
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+ - Engineering workflow optimization
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+ - AI adoption analysis
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+ - Process automation planning
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+ - Internal tooling prototyping
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+
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+
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+ ## Future Improvements
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+ - Structured JSON output
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+ - Workflow visualization (diagrams)
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+ - History tracking of analyses
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+ - Multi-workflow comparison
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+ - Integration with team tools (e.g., GitLab, Notion)
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+
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+
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+ ##Author
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+
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+ **YamenRM**