hack27-delivery-confidence-radar/repo-manifest.json at main · Projecting-Success-Solutions-Portal/hack27-delivery-confidence-radar · GitHub

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{
  "event": {
    "name": "hack27",
    "slug": "hack27",
    "repo": "hack27",
    "topics": [
      "solution-centre",
      "hack27",
      "microsoft-teams",
      "microsoft-forms",
      "youtube",
      "hackathon",
      "innovation",
      "solution-design",
      "pitching",
      "judging",
      "challenge1",
      "data-visualisation",
      "dashboards",
      "survey-data",
      "ndas",
      "workplace-harassment",
      "policy-reform",
      "data-evidence",
      "advocacy",
      "next-js"
    ],
    "technologies": [
      "Microsoft Teams",
      "Microsoft Forms",
      "YouTube",
      "data-visualisation",
      "dashboards",
      "survey-data",
      "Next.js",
      "TypeScript",
      "Supabase",
      "LLM",
      "Tailwind CSS",
      "Power BI",
      "Microsoft Excel",
      "PowerPoint",
      "Python",
      "Jupyter",
      "pandas",
      "scikit-learn",
      "XGBoost",
      "SHAP",
      "NumPy",
      "SciPy",
      "matplotlib",
      "Streamlit",
      "Plotly",
      "Ollama",
      "AI",
      "large-language-models",
      "Microsoft 365",
      "local-ai-models"
    ]
  },
  "visibility": {
    "event_repo": "public",
    "team_repos": "public"
  },
  "repos": [
    {
      "type": "team",
      "challenge_name": "Rolls\u2011Royce \u2013 See It Early: Improving Delivery Confidence",
      "challenge_description": "This challenge, presented by Rolls\u2011Royce, focuses on helping teams spot delivery problems earlier, before tasks begin to slip. Using synthetic delivery datasets, participants are asked to build simple, practical tools\u2014such as dashboards, rules or lightweight models\u2014that make it easier to see which tasks are at risk, how planning and delivery behaviours differ across programmes and work centres, and what actions could protect committed work and reduce pressure. The emphasis is on clarity, early warning and decision support rather than complex technical solutions.",
      "challenge_slug": "challenge6",
      "team_name": "Delivery Confidence Radar",
      "team_slug": "f",
      "name": "hack27-delivery-confidence-radar",
      "child_repo_path": "submissions/hack27-challenge6-f",
      "url": "https://github.com/Projecting-Success-Solutions-Portal/hack27-delivery-confidence-radar.git",
      "description": "Delivery Confidence Radar built an early\u2011warning Delivery Confidence Radar that integrates activity and capacity data to surface instability, pressure and likely slippage before dates move. The solution emphasises explainable signals and a clear \u2018what\u2019s at risk, why, and where to intervene\u2019 structure suitable for planners and senior leaders.",
      "key_outcomes": "Improves early intervention by making capacity\u2011driven risk and planning instability visible in a single, coherent view, reducing late recovery effort and increasing confidence in committed work.",
      "important_files": [
        {
          "path": "4.0 Supporting Information/Delivery Confidence Radar Core 1.docx",
          "purpose": "Step\u2011by\u2011step plan for building the core early\u2011warning risk radar focused on committed work and capacity pressure."
        },
        {
          "path": "4.0 Supporting Information/powerbi_pipeline/etl_powerbi.py",
          "purpose": "ETL pipeline that prepares activity and capacity data for Power BI reporting."
        },
        {
          "path": "3.0 Solution/Challenge6/Input/activity_data_synthetic_generic.csv",
          "purpose": "Synthetic activity dataset used to detect forecast drift and delivery instability."
        },
        {
          "path": "3.0 Solution/Challenge6/Input/capacity_data_synthetic_generic.csv",
          "purpose": "Synthetic capacity dataset explaining pressure and realism at work\u2011centre level."
        }
      ],
      "required_fields": {
        "summary": "An explainable early\u2011warning radar highlighting delivery risk driven by forecast drift and capacity pressure.",
        "problem": "Teams often recognise delivery issues only after forecasts move, leaving limited time to act.",
        "approach": "Join activity and capacity data, apply simple, transparent risk flags, and present insights through a Power BI\u2011ready structure.",
        "deliverables": "ETL pipeline, risk logic, Power BI report design and supporting datasets."
      },
      "thumbnail_path": "4.0 Supporting Information/Average Float of Tasks Over Time.png",
      "topics": [
        "solution-centre",
        "hack27",
        "challenge6",
        "python",
        "power-bi",
        "data-analytics",
        "rule-based-models",
        "etl",
        "delivery-confidence",
        "early-warning",
        "dashboards",
        "capacity-management",
        "decision-support"
      ],
      "technologies": [
        "Python",
        "Power BI",
        "data-analytics",
        "rule-based-models",
        "ETL"
      ],
      "members": []
    }
  ]
}