AI-powered-Agreement-Risk-Analyzer

Missed clauses in documents can cost you. Use AI Agreement Risk Analyzer – upload, extract key clauses, and assess risk with a Risk Meter. Save time, sign smarter!

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About the Project

Inspiration

Reading through lengthy policies, agreements, or documents can be exhausting, and it’s easy to miss critical clauses that could lead to unforeseen risks. I was inspired to create a solution that simplifies this process, leveraging AI to analyze documents, extract crucial clauses, and assess risk factors. The goal was to save time, reduce human error, and help users make informed decisions when signing important documents.

What it Does

The AI-powered Agreement Risk Analyzer allows users to upload documents (e.g., contracts, policies, or agreements). The app uses AI to:

  • Extract and highlight key clauses.
  • Analyze potential risks.
  • Display a Risk Meter to visually represent the risk level. Users can quickly understand the implications of a document without spending hours reading through it.

How We Built It

  • Backend: Built with Python, using the google-generativeai library for AI-powered text analysis and PyPDF2 for extracting text from PDFs.
  • Frontend: Developed with Streamlit for a simple, intuitive user interface.
  • AI Integration: Leveraged Google’s Generative AI (Gemini) to analyze and summarize document content.
  • Risk Meter: Created a visual risk assessment tool using Plotly for dynamic and interactive visuals.
  • Deployment: Hosted on Streamlit Community Cloud for easy access and scalability.

Challenges We Ran Into

  1. API Key Management: Ensuring secure handling of the Gemini API key without exposing it in the codebase.
  2. Text Extraction: Handling complex PDF formats and ensuring accurate text extraction.
  3. AI Limitations: Fine-tuning the AI to identify and prioritize critical clauses effectively.
  4. User Experience: Designing a clean, intuitive interface for non-technical users.

Accomplishments That We're Proud Of

  • Successfully integrating Google’s Generative AI to analyze and summarize complex documents.
  • Creating a Risk Meter that provides clear, actionable insights.
  • Building a fully functional app that simplifies a tedious process and delivers value to users.
  • Deploying the app on Streamlit Community Cloud, making it accessible to a wide audience.

What We Learned

  • The importance of secure API key management using environment variables and Streamlit Secrets.
  • How to leverage AI models for natural language processing and document analysis.
  • The challenges of designing a user-friendly interface for complex workflows.
  • The value of iterative testing and user feedback in refining the app’s functionality.

What's Next for AI-powered Agreement Risk Analyzer

  • Multi-Document Support: Allow users to upload and compare multiple documents at once.
  • Customizable Risk Factors: Let users define what constitutes a "risk" based on their specific needs.
  • Advanced AI Training: Fine-tune the AI model to better understand industry-specific terminology and clauses.
  • Exportable Reports: Generate downloadable reports with detailed risk analysis and recommendations.
  • Integration with Cloud Storage: Enable users to pull documents directly from platforms like Google Drive or Dropbox.
  • Mobile Optimization: Develop a mobile-friendly version of the app for on-the-go use.

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