Project:Hack27 is a community hackathon bringing teams together to design, pitch and judge practical solutions across six defined challenges, with a focus on innovation, clear value and real‑world impact.
Please be aware that this content was generated follwing an automated review so may not be perfectly accurate; refer to the original challenge brief and team files for authoritative information
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
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
| challenge | brief | topics | technologies |
|---|---|---|---|
| Speak Out Revolution – Breaking the Silence | This challenge, presented by Speak Out Revolution, focuses on uncovering compelling, data‑driven evidence that demonstrates the real harm caused by the misuse of non‑disclosure agreements (NDAs) in cases of workplace bullying, harassment and abuse. Participants are asked to analyse and visualise anonymised survey data to reveal patterns of NDA misuse across organisations, sectors and geographies, producing robust insights that can support survivor‑centred legislative reform in the UK and internationally. | solution-centre, hack27, challenge1, data-visualisation, dashboards, survey-data, ndas, workplace-harassment, policy-reform, data-evidence, advocacy, next-js, typescript, supabase, llm, tailwind-css, policy-evidence, power-bi, microsoft-excel, powerpoint | 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 |
| EDF – Automated WBS Generator | This challenge, presented by EDF, asks teams to automate the translation of narrative project scope documents into a clean, standardised four‑level Work Breakdown Structure (WBS). The aim is to reduce the time, inconsistency and error associated with manual schedule creation by using AI to generate structured initiation artefacts that are ready for estimating, scheduling and governance, while operating entirely within secure corporate environments such as an Office 365 tenant. | solution-centre, hack27, challenge2, ai, large-language-models, microsoft-365, local-ai-models, project-initiation, work-breakdown-structure, automation, secure-ai, project-planning, governance, azure, docker, ollama, qwen2-5, open-webui, ubuntu | AI, large-language-models, Microsoft 365, local-ai-models, Azure, Docker, Ollama, Qwen2.5, Open WebUI, Ubuntu |
| Rolls‑Royce – Forecast Fade: Restoring Confidence in Supply Chain Spend | This challenge, presented by Rolls‑Royce, focuses on addressing ‘forecast fade’ in supply chain spend commitments. Programme Directors must commit forecasts to the CFO that directly influence funding and investment decisions, yet these forecasts often deteriorate over time and lack credibility. Teams are asked to design a product or analytical approach that not only improves forecast accuracy, but explains why forecasts fail, identifies the suppliers, contracts or behaviours driving error, and provides prescriptive, executive‑grade insights that leaders can confidently act on. | solution-centre, hack27, challenge3, data-analytics, forecasting-models, visualisation, decision-support-tools, supply-chain, forecasting, financial-planning, executive-insight, decision-support, risk-management, excel, data-modelling, confidence-metrics, streamlit, python, confidence-led-decision-making, miro | data-analytics, forecasting-models, visualisation, decision-support-tools, Excel, data-modelling, Streamlit, Python, Miro, collaborative-design |
| Team Animation – Human‑Centric Data Challenge | This challenge, presented by Team Animation, focuses on capturing and analysing Human‑Centric Data (HCD) during the Hackathon to reveal behavioural, emotional and psychological signals that influence team performance. Participants are tasked with collecting live data from teams, analysing emerging patterns, and translating these insights into clear dashboards that support both individual teams (project layer) and Hack organisers (portfolio layer). The goal is to surface early warnings such as stress, disengagement or collaboration breakdowns, enabling timely intervention and improved outcomes. | solution-centre, hack27, challenge4, data-visualisation, dashboards, survey-tools, analytics-platforms, human-centric-data, team-behaviour, psychological-safety, performance-insight, portfolio-oversight, html, javascript, web-analytics, fastapi, python, streamlit, pandas, llm | data-visualisation, dashboards, survey-tools, analytics-platforms, HTML, JavaScript, web-analytics, FastAPI, Python, Streamlit, pandas, LLM, Ollama |
| MPA – Critical Assumption Drift | This challenge, presented by the Major Projects Association, focuses on managing critical assumption drift in projects and portfolios. It asks teams to design a system that captures, categorises and monitors project assumptions over time, tracks how they drift due to internal decisions or external changes, and applies confidence scoring and early‑warning indicators. The aim is to move assumption management from passive documentation to active assurance, enabling earlier intervention when plans fall out of alignment with reality. | solution-centre, hack27, challenge5, data-analytics, dashboards, confidence-scoring, external-data-integration, assumption-management, portfolio-assurance, early-warning, risk-management, decision-support, project-governance, rss, data-integration, monitoring-tools, external-signals, javascript, web-dashboards, netlify | data-analytics, dashboards, confidence-scoring, external-data-integration, RSS, data-integration, monitoring-tools, JavaScript, web-dashboards, Netlify, GitHub, presentation-tools, Miro, collaborative-design |
| Rolls‑Royce – See It Early: Improving Delivery Confidence | This challenge, presented by Rolls‑Royce, 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—such as dashboards, rules or lightweight models—that 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. | solution-centre, hack27, challenge6, data-analytics, dashboards, rule-based-models, decision-support-tools, delivery-confidence, early-warning, project-delivery, capacity-management, decision-support, planning-behaviour, power-bi, visualisation, excel, ai-recommendations, python, clustering, scikit-learn | data-analytics, dashboards, rule-based-models, decision-support-tools, Power BI, visualisation, Excel, Python, clustering, scikit-learn, k-nearest-neighbours, pandas, ETL, Microsoft Teams, JSON, prompt-engineering |
| challenge | team | path | repo | topics | technologies |
|---|---|---|---|---|---|
| Speak Out Revolution – Breaking the Silence | NDA Harm Evidence Explorer | submissions/hack27-challenge1-a |
hack27-nda-harm-evidence-explorer | solution-centre, hack27, challenge1, next-js, typescript, supabase, llm, tailwind-css, ndas, data-visualisation, policy-evidence, dashboards, survey-data | Next.js, TypeScript, Supabase, LLM, Tailwind CSS |
| Speak Out Revolution – Breaking the Silence | NDA Null | submissions/hack27-challenge1-b |
hack27-nda-null | solution-centre, hack27, challenge1, power-bi, microsoft-excel, powerpoint, ndas, data-analysis, data-visualisation, dashboards, policy-evidence | Power BI, Microsoft Excel, PowerPoint |
| Speak Out Revolution – Breaking the Silence | Sector Risk Lens | submissions/hack27-challenge1-c |
hack27-sector-risk-lens | solution-centre, hack27, challenge1, python, jupyter, pandas, scikit-learn, xgboost, shap, ndas, risk-analysis, policy-evidence, survey-data, workplace-harassment | Python, Jupyter, pandas, scikit-learn, XGBoost, SHAP |
| Speak Out Revolution – Breaking the Silence | NDA Statistical Evidence | submissions/hack27-challenge1-d |
hack27-nda-statistical-evidence | solution-centre, hack27, challenge1, python, jupyter, pandas, numpy, scipy, matplotlib, ndas, statistical-analysis, survey-data, policy-evidence, workplace-harassment | Python, Jupyter, pandas, NumPy, SciPy, matplotlib |
| Speak Out Revolution – Breaking the Silence | SpeakOutIQ | submissions/hack27-challenge1-f |
hack27-speakoutiq | solution-centre, hack27, challenge1, python, streamlit, pandas, scipy, plotly, ollama, ndas, policy-evidence, interactive-dashboard, data-visualisation, decision-support | Python, Streamlit, pandas, SciPy, Plotly, Ollama |
| EDF – Automated WBS Generator | Scope2WBS | submissions/hack27-challenge2-a |
hack27-scope2wbs | solution-centre, hack27, challenge2, azure, docker, ollama, qwen2-5, open-webui, ubuntu, work-breakdown-structure, secure-ai, project-initiation, automation, microsoft-365 | Azure, Docker, Ollama, Qwen2.5, Open WebUI, Ubuntu |
| Rolls‑Royce – Forecast Fade: Restoring Confidence in Supply Chain Spend | Forecast Confidence Lens | submissions/hack27-challenge3-a |
hack27-forecast-confidence-lens | solution-centre, hack27, challenge3, data-analytics, excel, data-modelling, visualisation, supply-chain, forecasting, confidence-metrics, decision-support, risk-management | data-analytics, Excel, data-modelling, visualisation |
| Rolls‑Royce – Forecast Fade: Restoring Confidence in Supply Chain Spend | Fade Radar | submissions/hack27-challenge3-b |
hack27-fade-radar | solution-centre, hack27, challenge3, streamlit, python, data-analytics, visualisation, forecasting, decision-support, supply-chain, executive-insight | Streamlit, Python, data-analytics, visualisation |
| Rolls‑Royce – Forecast Fade: Restoring Confidence in Supply Chain Spend | Route Awakening | submissions/hack27-challenge3-c |
hack27-route-awakening | solution-centre, hack27, challenge3, data-analytics, forecasting-models, visualisation, decision-support-tools, supply-chain, forecasting, confidence-led-decision-making, executive-insight, decision-support | data-analytics, forecasting-models, visualisation, decision-support-tools |
| Rolls‑Royce – Forecast Fade: Restoring Confidence in Supply Chain Spend | Forecast Insight Canvas | submissions/hack27-challenge3-d |
hack27-forecast-insight-canvas | solution-centre, hack27, challenge3, miro, collaborative-design, data-analytics, forecasting, decision-support, visual-thinking, executive-insight, risk-management | Miro, collaborative-design, data-analytics |
| Team Animation – Human‑Centric Data Challenge | Live HCD Dashboard | submissions/hack27-challenge4-a |
hack27-live-hcd-dashboard | solution-centre, hack27, challenge4, html, javascript, data-visualisation, web-analytics, human-centric-data, dashboards, team-behaviour, performance-insight, portfolio-oversight | HTML, JavaScript, data-visualisation, web-analytics |
| Team Animation – Human‑Centric Data Challenge | HCD Action Console | submissions/hack27-challenge4-b |
hack27-hcd-action-console | solution-centre, hack27, challenge4, fastapi, python, streamlit, pandas, llm, ollama, human-centric-data, dashboards, portfolio-oversight, team-behaviour, performance-insight | FastAPI, Python, Streamlit, pandas, LLM, Ollama |
| MPA – Critical Assumption Drift | Assumption Drift Monitor | submissions/hack27-challenge5-a |
hack27-assumption-drift-monitor | solution-centre, hack27, challenge5, rss, data-integration, monitoring-tools, assumption-management, early-warning, external-signals, portfolio-assurance, risk-management | RSS, data-integration, monitoring-tools |
| MPA – Critical Assumption Drift | Evidence Engine | submissions/hack27-challenge5-b |
hack27-evidence-engine | solution-centre, hack27, challenge5, javascript, web-dashboards, data-analytics, netlify, github, assumption-management, portfolio-assurance, dashboards, early-warning, decision-support | JavaScript, web-dashboards, data-analytics, Netlify, GitHub |
| MPA – Critical Assumption Drift | Assumption Assurance Pitch | submissions/hack27-challenge5-c |
hack27-assumption-assurance-pitch | solution-centre, hack27, challenge5, presentation-tools, data-analytics, dashboards, assumption-management, portfolio-assurance, early-warning, decision-support, project-governance | presentation-tools, data-analytics, dashboards |
| MPA – Critical Assumption Drift | Assumption Drift Canvas | submissions/hack27-challenge5-d |
hack27-assumption-drift-canvas | solution-centre, hack27, challenge5, miro, collaborative-design, data-analytics, assumption-management, portfolio-assurance, visual-thinking, early-warning, decision-support | Miro, collaborative-design, data-analytics |
| Rolls‑Royce – See It Early: Improving Delivery Confidence | Delivery Confidence Dashboard | submissions/hack27-challenge6-a |
hack27-delivery-confidence-dashboard | solution-centre, hack27, challenge6, power-bi, data-analytics, visualisation, delivery-confidence, early-warning, dashboards, project-delivery, decision-support | Power BI, data-analytics, visualisation |
| Rolls‑Royce – See It Early: Improving Delivery Confidence | AI Delivery Recommender | submissions/hack27-challenge6-b |
hack27-ai-delivery-recommender | solution-centre, hack27, challenge6, power-bi, excel, data-analytics, rule-based-models, delivery-confidence, early-warning, dashboards, ai-recommendations, decision-support | Power BI, Excel, data-analytics, rule-based-models |
| Rolls‑Royce – See It Early: Improving Delivery Confidence | Delivery Confidence Assistant | submissions/hack27-challenge6-c |
hack27-delivery-confidence-assistant | solution-centre, hack27, challenge6, python, power-bi, data-analytics, rule-based-models, clustering, delivery-confidence, early-warning, dashboards, planning-behaviour, decision-support | Python, Power BI, data-analytics, rule-based-models, clustering |
| Rolls‑Royce – See It Early: Improving Delivery Confidence | Early Slip Predictor | submissions/hack27-challenge6-d |
hack27-early-slip-predictor | solution-centre, hack27, challenge6, python, scikit-learn, data-analytics, k-nearest-neighbours, delivery-confidence, early-warning, capacity-management, planning-behaviour, decision-support | Python, scikit-learn, data-analytics, k-nearest-neighbours |
| Rolls‑Royce – See It Early: Improving Delivery Confidence | Delivery Risk Classifier | submissions/hack27-challenge6-e |
hack27-delivery-risk-classifier | solution-centre, hack27, challenge6, python, pandas, scikit-learn, data-analytics, delivery-confidence, early-warning, predictive-modelling, capacity-management, decision-support | Python, pandas, scikit-learn, data-analytics |
| Rolls‑Royce – See It Early: Improving Delivery Confidence | Delivery Confidence Radar | submissions/hack27-challenge6-f |
hack27-delivery-confidence-radar | solution-centre, hack27, challenge6, python, power-bi, data-analytics, rule-based-models, etl, delivery-confidence, early-warning, dashboards, capacity-management, decision-support | Python, Power BI, data-analytics, rule-based-models, ETL |
| Rolls‑Royce – See It Early: Improving Delivery Confidence | SIGNAL | submissions/hack27-challenge6-g |
hack27-signal | solution-centre, hack27, challenge6, python, power-bi, scikit-learn, rule-based-models, clustering, microsoft-teams, delivery-confidence, early-warning, schedule-intelligence, capacity-management, decision-support | Python, Power BI, scikit-learn, rule-based-models, clustering, Microsoft Teams |
| Rolls‑Royce – See It Early: Improving Delivery Confidence | Action & Narrative Generator | submissions/hack27-challenge6-h |
hack27-action-narrative-generator | solution-centre, hack27, challenge6, python, json, prompt-engineering, data-analytics, delivery-confidence, early-warning, decision-support, action-management, narrative-insight | Python, JSON, prompt-engineering, data-analytics |