Projects using Python in Little Canada
Projects using Python in Little Canada
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21
John Akhilomen
pro
📱 AI-Powered Mobile Learning Platform (Education & Skill Development) Platform: iOS & Android Mobile Application A modern, engaging learning experience that adapts to users’ progress while supporting long-term scalability, monetization, and future feature expansion. Key Features: - AI-driven curriculum recommendations based on user activity and progress - Structured courses and lessons across multiple skill levels - User progression system (XP, ranks, completion tracking) - Mentorship scheduling and learning sessions - Subscription-based billing with free and paid tiers - Admin-ready architecture for future content and feature expansion
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21
1.7K
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Chau Pham
Forecasting monthly passenger volumes for Changi Airport
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28
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1
Dustin Cummings
pro
I developed GORS as an alpha-stage governed AI research and validation environment focused on human authority, evidence lineage, continuity, contradiction preservation, and replayable decision history. Internal testing examined whether consequential AI-assisted workflows could remain reviewable, traceable, and reconstructable under controlled conditions.
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22
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Piers Concord
JsonLawgic: Law as Code
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13
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Trenton Gibson
Personal Finance Project
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6
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15
John Akhilomen
pro
#TeQius An online coding bootcamp designed to help career-changers break into high-paying tech roles. The platform blends game mechanics, dual mentorship, and project-based challenges to create a learning experience that is immersive, motivating, and outcomes-driven. TeQius focuses on active learning, real-world application, and continuous feedback. It combines three core pillars into one cohesive learning system: 1. Gamified Learning Experience 2. Dual Mentorship Model 3. Project-Based Challenges
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1.5K
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Dustin Cummings
pro
Constitutional Execution Kernel (CEK) The Constitutional Execution Kernel (CEK) is an execution framework designed to support governed operational workflows through deterministic execution, verifiable state transitions, and replayable evidence. It provides a structured foundation for systems where transparency, consistency, and recoverability are important. Key capabilities Deterministic execution Replayable operational history Verifiable execution records Controlled state transitions Governance-oriented system design Skills Back-End Developer Artificial Intelligence Software Architecture (or Python, if Architecture isn't available) Tools Python GitHub Git Industries Artificial Intelligence Enterprise Software Healthcare Insurance Financial Services Visuals Use marketing-oriented visuals instead of revealing implementation: CEK hero image Deterministic execution concept graphic Replay and verification concept graphic Enterprise governance illustration
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18
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John Akhilomen
pro
AI-Powered Legal Workflow Automation Platform
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11
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Dustin Cummings
pro
Governed Operational Reasoning System (GORS) Modern AI systems can produce powerful results, but many organizations need more than capability. They need transparency, accountability, and confidence that AI-assisted decisions can be reviewed and governed. The Governed Operational Reasoning System (GORS) is a governance framework designed to add structured oversight to AI-enabled workflows. It focuses on helping organizations build AI processes that are auditable, repeatable, and compatible with human decision-making requirements. Key capabilities Human-governed operational workflows Verifiable execution records Deterministic and repeatable processes where applicable Evidence-oriented audit support Enterprise-ready governance concepts Potential applications Enterprise AI Healthcare Financial services Insurance Legal operations Government and regulated industries This project represents ongoing work exploring practical approaches to AI governance for environments where transparency, oversight, and accountability are important.
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