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AI_TC_v0.2

06 Nov 15:51
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AI_TC_Comparator_v0.1.

05 Nov 18:44
@ashunaveed ashunaveed
AI_TC_v0.1
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AI_TC_Comparator_v0.1.

Subject: Introduction of AI-Enabled Module for Tender Financial Eligibility Assessment.

I am Md. Naveed Ashfaq, currently serving as DSTE/CN/BNC. To streamline and enhance the tender committee’s efficiency in assessing financial eligibility, I have developed an AI-powered module to assist in the decision-making process. Here are the key highlights of the module:

  1. Download and Installation: Access the module via our GitHub repository, download the package, and extract the contents. Start the program by double-clicking the start_windows.bat file.
  2. Prerequisite Software: Before running the module, ensure that Visual Studio (with C++ development tools) and Ghostscript are installed. This setup is essential for optimal module functionality.
  3. Simple Start Process: Run the module by double clicking start_windows.bat. If any windows prompt appears, please click run anyway. During the initial launch, the setup will create a Python environment, download required packages, and install an AI model. A confirmation pop-up will indicate successful installation.
  4. AI Model Integration: This module uses a quantized version of the Llama 3.1 AI model, available for independent download if needed. The AI capabilities enable advanced bid analysis for enhanced accuracy.
  5. System Requirements: For optimal performance, an AI-enabled analysis requires a minimum of 16 GB RAM and a dedicated GPU. For non-AI operations, 8 GB RAM is sufficient.
  6. User Interface and Controls: A user-friendly GUI will guide you through the process, offering options to analyze primary and sub-bids with or without AI assistance.
  7. Detailed Comparison Process: The module generates Excel sheets for bid comparisons. Users may edit these sheets to adjust rates or correct any identified discrepancies.
  8. Background Processing and Efficiency: The module leverages advanced NLP and AI libraries to automate and streamline comparisons, saving significant time and effort in financial evaluations.
  9. Future Enhancements: Planned updates include expanded features such as document verification, technical bid evaluation, and enhanced AI and NLP capabilities.
  10. Feedback and Suggestions: Your insights are invaluable. I invite you to explore the module and provide feedback for continuous improvement.

For further assistance, feel free to contact me at [email protected] or can also be posted at the issues section of this page.

Thank you for your attention and cooperation.

Best regards,
Md. Naveed Ashfaq
DSTE/CN/BNC

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