hack26-ghost-busters/repo-manifest.json at main · Projecting-Success-Solutions-Portal/hack26-ghost-busters · GitHub

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{
  "event": {
    "name": "hack26",
    "slug": "hack26",
    "repo": "hack26",
    "topics": [
      "solution-centre",
      "hack26",
      "python",
      "azure",
      "power-bi",
      "github",
      "hackathon",
      "innovation",
      "data",
      "artificial-intelligence",
      "prototyping",
      "collaboration",
      "challenge1",
      "large-language-models",
      "machine-learning",
      "natural-language-processing",
      "risk-management",
      "tacit-knowledge",
      "heuristics",
      "project-risk"
    ],
    "technologies": [
      "python",
      "azure",
      "power-bi",
      "github",
      "large-language-models",
      "machine-learning",
      "natural-language-processing",
      "streamlit",
      "reportlab",
      "pandas",
      "microsoft-excel",
      "dataverse",
      "power-apps",
      "power-automate",
      "copilot-studio",
      "jupyter",
      "google-gemini",
      "openpyxl",
      "fuzzywuzzy",
      "json",
      "microsoft-copilot",
      "office-365",
      "project-scheduling-tools",
      "microsoft-office",
      "primavera-p6",
      "document-analysis",
      "knowledge-bases",
      "search",
      "pdfplumber",
      "sentence-transformers"
    ]
  },
  "visibility": {
    "event_repo": "public",
    "team_repos": "public"
  },
  "repos": [
    {
      "type": "team",
      "challenge_name": "Ghosts of Projects Past",
      "challenge_description": "This challenge, presented by the MOD, focuses on preventing repeated delivery failures by unlocking lessons hidden in historic project assurance artefacts, particularly Gateway reviews. Teams explore how large language models and related AI techniques can automatically extract both explicit and implicit lessons, organise them into a structured and searchable Lessons Library, and make them reusable at project start\u2011up and review stages to strengthen learning and assurance across portfolios.",
      "challenge_slug": "challenge4",
      "team_name": "Ghost Busters",
      "team_slug": "a",
      "name": "hack26-ghost-busters",
      "child_repo_path": "submissions/hack26-challenge4-a",
      "url": "https://github.com/Projecting-Success-Solutions-Portal/hack26-ghost-busters.git",
      "description": "The team built an automated Lessons Learned Library that extracts recommendations and insights from historic MOD Gateway Review reports and turns them into a structured, searchable knowledge base. The solution combines document parsing, NLP categorisation, AI summarisation, and Power BI reporting to surface relevant lessons at project start-up and review stages.",
      "key_outcomes": "Reduced time spent manually reviewing historic Gateway reports; improved reuse of assurance lessons across projects; earlier identification of recurring delivery issues; stronger organisational learning and reduced repeat failures.",
      "important_files": [
        {
          "path": "33rd times a charm.ipynb",
          "purpose": "Core notebook for extracting, categorising, and summarising lessons from Gateway Review PDFs."
        },
        {
          "path": "99_problems.py",
          "purpose": "Automated pipeline to ingest Gateway reports, classify lessons, and append them to a standard Lessons Learned Excel template."
        },
        {
          "path": "20251021-Story Mapping_Lessons Learned Library.docx",
          "purpose": "Story map outlining the end-to-end Lessons Learned Library workflow and user journeys."
        }
      ],
      "required_fields": {
        "summary": "An AI-enabled Lessons Learned Library that unlocks insights hidden in historic Gateway reviews.",
        "problem": "Valuable assurance lessons are buried in long documents and rarely reused, leading to repeated project failures.",
        "approach": "Automatically extract recommendations from Gateway reports, categorise and summarise them using NLP, and present them through a searchable Power BI dashboard.",
        "deliverables": "Automated lesson extraction scripts, structured lessons dataset, Power BI Lessons Library dashboard, and documented workflow."
      },
      "thumbnail_path": "Image (3).png",
      "topics": [
        "solution-centre",
        "hack26",
        "challenge4",
        "python",
        "pdfplumber",
        "sentence-transformers",
        "hugging-face",
        "power-bi",
        "openpyxl",
        "watchdog",
        "lessons-learned",
        "project-assurance",
        "knowledge-management",
        "document-analysis",
        "search",
        "governance",
        "data-quality"
      ],
      "technologies": [
        "python",
        "pdfplumber",
        "sentence-transformers",
        "hugging-face",
        "power-bi",
        "openpyxl",
        "watchdog"
      ],
      "members": [
        "Seyi",
        "Ben",
        "Abi"
      ]
    }
  ]
}