Alessio Chiovelli@alechiove556

PM-AI represents a transformative leap in project management efficiency. This innovative tool addresses the persistent challenges of disorganized meetings, scheduling conflicts, and overall productivity loss. By automating tasks like call scheduling, minute generation, and task assignment, PM-AI utilizes historical project data to recommend optimal meeting slots, set smart agendas, and identify key participants. With over one-third of European workers reporting fatigue and related health issues, and younger professionals particularly impacted, PM-AI’s user-friendly, conversation-based interface offers an intuitive, step-by-step approach to project planning. Differentiating itself from tools such as Google Calendar, RescueTime, and Clockify, PM-AI not only synchronizes tasks across teams but also provides personalized insights through interactive chat, ultimately driving better operational performance and reducing techno-stress.

Childhood obesity impacts millions, challenging parents to encourage healthy eating habits effectively. PickABite offers a fun, AI-driven solution combining gamification and nutrition education. Kids engage with a virtual character, play educational games, and get non-judgmental feedback on food choices, fostering positive habits. Parents benefit from personalized meal plans, simple monitoring tools, and actionable insights. Designed for children, including those with weight challenges or special diets, PickABite motivates, through AI drives solutions, tailored recipes, progress tracking, and rewards, making health education engaging and effective. Problem: childhood obesity is a rising global issue, negatively impacting the physical and emotional health of millions of children. Parents often find it challenging to monitor their children’s eating habits and provide engaging, effective tools to instill healthy behaviors. Solution: PickABite is an innovative app that merges gamification, food education, and AI-driven insights to encourage healthy eating habits. Children interact with a virtual character, play educational games, and receive fun, non-judgmental feedback on their food choices. Parents benefit from personalized meal recommendations and easy monitoring tools, ensuring a seamless blend of education and actionable support. Target Audience: children aged 6–13 facing weight challenges or requiring special dietary regimes, such as vegetarian or diabetes-friendly plans, and their parents who seek effective, user-friendly tools to improve dietary habits and overall health. Unique Features/Benefits: 1) For Kids: AI-gamified experiences, virtual rewards, and interactive challenges tied to real-life eating habits. 2) For Parents: AI-powered meal suggestions, dietary tracking, and recipes linked to the child’s gaming experience. 3) Long-term Impact: combats obesity through playful learning, fostering sustainable healthy habits.

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🌍 Affronta le sfide sociali del nostro tempo grazie alle funzionalità avanzate del modello Llama 3.1, imparando e collaborando insieme ai nostri mentors e agli esperti di Meta e dei principali leader del settore dell’IA. 🚀 Accetta la sfida: come sfruttare l'intelligenza artificiale per migliorare il benessere generale dei cittadini, affrontando aree chiave come la salute, i servizi sociali, l’ambiente, i trasporti, la pubblica sicurezza e il dialogo con la pubblica amministrazione. 📅 Unisciti a noi online o di persona presso la sede di Meta Binario F a Roma dal 29 novembre al 1 dicembre. L’evento è dedicato esclusivamente alle persone che vivono in Italia. 🌍 Il supporto sarà disponibile sia in inglese che in italiano. 🏆 Puoi ricevere fino a $5.000 in premi e l'opportunità di ampliare il tuo progetto ad alto impatto sociale e partecipare al programma esclusivo ‘Llama Impact Grant’! ⭐ I 2 team vincenti potranno partecipare a un esclusivo programma di incubazione digitale Meta & lablab NEXT e saranno invitati, a nostre spese, per 2 giorni a visitare i centri di ricerca internazionali e incontrare gli esperti Meta. ⭐ L’iniziativa è patrocinata dall’Agenzia per l'Italia Digitale (AGID), dall’Agenzia per la Cybersicurezza Nazionale (ACN) e dal Dipartimento di Ingegneria dell’Informazione, Elettronica e Telecomunicazioni dell’Università di Roma, La Sapienza (DIET). 🏆 La cerimonia di premiazione si svolgerà lunedì 2 dicembre alle ore 17:00 a Binario F, e prevede la partecipazione di alti rappresentanti istituzionali, di AgID, di ACN, e del Ministero delle Imprese e del Made in Italy.