We propose "AI-Powered for Transparent Procurement", a solution that integrates AI and blockchain to transform procurement processes for public sector connectivity projects. This platform will: Streamline Procurement: Use AI to automate vendor evaluation, bid comparison, and resource allocation, ensuring efficiency and fairness. Enhance Transparency: Leverage blockchain to create an immutable audit trail of all procurement activities, accessible to stakeholders. Predictive Insights: Use machine learning to forecast costs, identify risks, and suggest optimal strategies for planning and implementation. Improve Accountability: Certify vendors, projects, and compliance milestones using blockchain, ensuring accountability at every stage. Engage the Community: Provide a dashboard for public monitoring, allowing citizens to track the progress of connectivity projects in their communities.

UniSphere: Transforming Public Sector Procurement with AI UniSphere is an AI solution revolutionizing government procurement for connectivity projects through automated RFP analysis and bid evaluation. The Problem Government procurement suffers from inefficient, error-prone processes that lead to delays, wasted funds, and poor vendor selection. Creating comprehensive RFPs and objectively evaluating bids remains challenging for procurement teams. Our Solution UniSphere's procurement-specific Language Intelligence Model (LIM) processes complex documents with precision, built on open-source technologies for transparency and flexibility. Key Features RFP Analysis: Automatic requirements and criteria extraction. Technical specification identification. Gap detection in vendor proposals. Bid Evaluation: Objective bid scoring against requirements. Detailed strengths/weaknesses analysis. Best practices integration. Technology Built using Llama 3.1, IBM Granite, Hugging Face, Docker, PyTorch, and FastAPI—ensuring security, scalability, and seamless integration. Benefits for Users. Procurement Officers: Faster, more efficient processes. Technical Evaluators: Consistent, objective evaluations. Security Officers: Secure, compliant implementations. Challenges and Roadmap Current Focus: Security through secure self-hosting. Developing robust procurement datasets. Creating continuous improvement mechanisms. Future Plans: Enhanced security features. Risk prediction and sentiment analysis. Human-in-the-loop accountability. Ongoing model refinement. Conclusion UniSphere transforms public procurement by automating critical processes, helping governments save time, reduce costs, and improve decision-making. Our open-source approach ensures transparency and adaptability, building a foundation for more efficient, accountable procurement practices in connectivity projects.