The Rural.exe – Innovative AI Tools for Community Impact project aims to modernise and revitalise youth work in rural and disadvantaged areas by equipping youth workers with accessible, ethical, and practical AI-supported tools that enhance participation, inclusion, and civic engagement. In many remote regions, youth work remains under-resourced, lacks innovation, and struggles to involve young people meaningfully in community life. This training course addresses these gaps through a peer-led, practice-oriented learning experience focused on digital transformation, social inclusion, and active citizenship in youth work. Project objectives: 1. Strengthen the digital and civic competences of rural youth workers. → Participants will be trained in user-friendly AI tools (e.g. Canva, ChatGPT, Notion, InVideo). → Indicator: By the end of the project, at least 80% of participants will demonstrate confidence in applying two or more tools in daily practice, adapting them for planning, communication, or evaluation. 2. Improve the quality, accessibility, and visibility of youth work through digital innovation. → Participants will co-design outreach strategies for their organisations, including inclusive content creation, automation of routine tasks, and tailored communication formats. → Indicator: At least six digital outreach plans will be tested in local communities, resulting in increased visibility and higher engagement of rural youth. 3. Promote peer learning and cross-border exchange of inclusive youth participation models. → The project brings together 24 youth workers from Slovakia, Italy, Luxembourg, Bulgaria, Ukraine, and Poland. → Indicator: Through group work and intercultural dialogue, at least three inclusive participation models will be co-created, documented in the Toolkit, and shared for future use. 4. Support the design of inclusive, youth-friendly, and locally rooted initiatives. → Participants will learn to adapt activities for young people facing barriers such as digital exclusion, isolation, or low literacy. → Indicator: Each national team will pilot one inclusive initiative during follow-up, directly involving at least 60% of participants with fewer opportunities. 5. Co-create an open-source “AI for Community Toolkit.” → The Toolkit will compile tested prompts, templates, visuals, and examples developed during the training. → Indicator: The Toolkit will be published online, uploaded to Erasmus+ dissemination platforms, and promoted through partner networks, reaching at least 500 practitioners in the first year. 6. Ensure community impact through follow-up activities and transfer of learning. → Within eight weeks post-training, each national team will implement a youth-led workshop or event. → Indicator: At least six follow-up activities will be organised across partner countries, engaging a minimum of 150 young people, with at least 60% from disadvantaged backgrounds. Learning Recognition All activities are linked to the Youthpass framework, enabling participants to reflect on their progress, self-assess competences, and receive recognition in line with the EU Key Competences for Lifelong Learning. Perspective of Youth Work Practice The project ensures that innovation is embedded in daily youth work routines. Digital tools are not treated as abstract concepts but as concrete instruments to: → reach more young people in rural areas; → simplify communication and participation; → document and evaluate youth-led activities more effectively; → create inclusive, community-based spaces for civic engagement.