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Update JSON files with latest GitHub data
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public/projects.json

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"project_description": "Collaborative analytics for the Energy Sector based on innovative collaborative forecasting algorithms that improve renewable energy or load predictability by combining data from different data owners.",
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"project_topic": "predico",
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"project_tags": [
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"collaborative-forecasting",
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"collaborative-analytics",
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"predico",
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"data-market",
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"collaborative-forecasting"
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"data-market"
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],
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"top_repositories": [
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{
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"project_description": "Enershare defines a Data-Driven Reference Architecture for the energy domain, which is compliant with FIWARE, IDSA and GAIA-X. It creates a marketplace based on Blockchain and Smart Contracts with the aim of improving mutual trust amongst the actors of the ecosystem and increasing the security of the shared data.",
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"project_topic": "enershare",
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"project_tags": [
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"python",
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"energy-communities",
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"client-library",
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"tno-security-gateway",
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"renewable-energy-communities",
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"enershare",
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"price-optimization",
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"tno-security-gateway",
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"dataspaces",
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"energy",
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"price-optimization"
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"renewable-energy-communities",
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"python",
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"energy-communities",
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"client-library"
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],
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"top_repositories": [
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{
@@ -100,16 +100,16 @@
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"project_description": "GREEN.DAT.AI aims to channel the potential of AI towards the goals of the European Green Deal, by developing novel Energy-Efficient Large-Scale Data Analytics Services, ready-to-use in industrial AI-based systems, while reducing the environmental impact of data management processes.",
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"project_topic": "greendatai",
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"project_tags": [
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"python",
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"client-library",
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"greendatai",
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"enershare",
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"collaborative-forecasting",
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"energy",
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"data-marketplace",
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"machine-learning-algorithms",
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"data-sharing",
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"greendatai",
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"client-library",
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"python",
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"data-sharing-incentives",
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"data-marketplace",
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"collaborative-forecasting",
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"enershare",
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"energy"
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"data-sharing"
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],
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"top_repositories": [
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{
@@ -128,29 +128,29 @@
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]
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},
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{
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"name": "data-sharing-barter-incentives-forecast",
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"url": "https://github.com/INESCTEC/data-sharing-barter-incentives-forecast",
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"name": "data-sharing-barter-incentives-client",
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"url": "https://github.com/INESCTEC/data-sharing-barter-incentives-client",
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"stars": 2,
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"is_fork": false,
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"topics": [
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"collaborative-forecasting",
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"data-sharing-incentives",
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"client-library",
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"python",
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"enershare",
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"machine-learning-algorithms",
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"greendatai",
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"data-marketplace",
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"energy"
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]
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},
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{
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"name": "data-sharing-barter-incentives-client",
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"url": "https://github.com/INESCTEC/data-sharing-barter-incentives-client",
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"name": "data-sharing-barter-incentives-forecast",
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"url": "https://github.com/INESCTEC/data-sharing-barter-incentives-forecast",
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"stars": 2,
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"is_fork": false,
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"topics": [
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"client-library",
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"python",
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"collaborative-forecasting",
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"data-sharing-incentives",
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"enershare",
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"machine-learning-algorithms",
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"greendatai",
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"data-marketplace",
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"energy"
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"project_description": "InterConnect gathers 50 European entities to develop and demonstrate advanced solutions for connecting and converging digital homes and buildings with the electricity sector.",
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"project_topic": "interconnect",
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"project_tags": [
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"python",
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"interconnect",
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"energy",
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"electric-vehicles",
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"incentives",
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"recommender",
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"causality",
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"energy"
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"recommender",
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"python",
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"incentives"
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],
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"top_repositories": [
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{
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"project_description": "EMB3Rs stands for \u201cUser-driven Energy-Matching & Business Prospection Tool for Industrial Excess Heat/Cold Reduction, Recovery and Redistribution.",
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"project_topic": "emb3rs",
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"project_tags": [
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"emb3rs",
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"energy"
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"energy",
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"emb3rs"
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],
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"top_repositories": [
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{
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"project_description": "Robotised solutions and intelligent systems for agriculture and forestry.",
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"project_topic": "tribe",
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"project_tags": [
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"robotics",
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"tribe",
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"slam",
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"agro-food"
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"agro-food",
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"tribe",
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"robotics"
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],
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"top_repositories": [
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{
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"project_description": "To disclose the state-of-the-art in advanced production technologies through the demonstration of research, experimentation and advanced training results. iiLab supports technology-based innovation in public and private organisations, thus contributing to the development of their skills in the development, adoption and implementation of advanced production technologies, leading to a sustainable competitiveness in the circular economy context.",
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"project_topic": "iilab",
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"project_tags": [
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"robotics",
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"iilab"
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"iilab",
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"robotics"
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],
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"top_repositories": [
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{

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