On June 28 and 29, 2025, unleash your creativity and get involved by participating in the many challenges featured in The Big Hack – eighth edition.
Two days dedicated to technology and sharing!
Many prestigious companies are once again participating this year, each proposing their own innovation-themed challenge. Some challenges are already online, while others are coming soon!
THE CHALLENGES
Eni | Knowledge Capture: a Step Forward in the Use of Artificial Intelligence
Digital transformation is a crucial topic for Eni, ensuring competitiveness and making its business increasingly integrated, efficient, and sustainable. Leveraging the potential of Artificial Intelligence means opening up to new possibilities, exploring new frontiers, and overcoming limitations. The introduction of Generative Artificial Intelligence represents an important tool for the research and dissemination of existing knowledge within the company.
We live in an era where knowledge is the true driver of innovation. But how often is it lost? How many valuable ideas, experiences, and insights go undocumented, forgotten, or remain inaccessible?
“Knowledge Capture” is an Artificial Intelligence system that complements and extends the capabilities of Generative AI.
The Challenge
How useful would it be to have a tool that can process as input documents of various types (e.g., texts, videos, PowerPoint presentations, podcasts, etc.) on the same topic, and, through keywords, read them, extract a summary, and generate a final output document structured into chapters?
This would make it possible to optimize existing information and make it quickly accessible.
Collect, organize, and enhance.
The “Knowledge Capture: a Step Forward in the Use of Artificial Intelligence” challenge (hereinafter the “Challenge”) aims to develop ideas (such as apps or software/hardware solutions) that enable the “capture” and synthesis of information.
Eni invites you to propose a rapid knowledge capture solution with a feasible example.
🏆 Winning Project: Summy
Summy is a software solution designed to capture, understand, and synthesize content from diverse sources (written texts, videos, slides, audio/podcasts, PDFs) related to the same topic. Its goal is to gather scattered knowledge, recognize connections between sources, and present it as a single structured document divided into chapters, easy to navigate and coherent.
At the core of the application is a multimodal artificial intelligence engine capable of:
- Extracting keywords and recurring concepts from each content piece,
- Analyzing semantic relationships between sources,
- Generating an organized summary with titles, subtitles, and coherent content, ready to be consulted or exported.
Summy doesn’t just summarize: it organizes, enhances, and delivers information with the reliability of an expert assistant. Its interface is simple and responsive: just upload the files, select the common topic, and get the final document in a few easy steps.
Team Members: Ahmed Abdelrahman | Marcello Pisani | Antonio Pintauro
⇒ Discover the prize for this challenge!
Bhblasted | Create your own AI Agent to optimize social media advertising campaign performance
In today’s digital landscape, multi-platform advertising campaigns are managed by marketing teams facing complex challenges daily: analyzing KPIs, comparing metrics from various systems, and optimizing performance in real-time. These often manual and fragmented activities consume resources and slow down decision-making.
With the advent of generative AI and intelligent agents, it’s now possible to automate, enhance, and simplify the entire advertising management cycle, making it accessible even to small or non-technical teams.
This challenge aims to democratize data-driven online advertising optimization, offering agile and customizable tools for those working in multi-account or multi-platform environments.
The Challenge
How can we design an application that supports marketers, agencies, and growth teams in optimizing online ad campaigns?
The software should connect to multiple advertising accounts, automatically gather data from platforms like Meta Ads, Google Ads, TikTok, or LinkedIn, analyze key metrics such as CTR, CPA, or ROAS, and generate clear, actionable insights—even in natural language.
The goal is to design a program that goes beyond just observing data—it should suggest targeted actions like budget redistribution, creative modifications, or pausing underperforming campaigns. The system must be capable of answering questions like “Which campaign performed best this week?”, generate concise reports, and improve over time with feedback.
The project can be presented as an interactive dashboard or a chatbot integrated into daily work tools such as Slack or Telegram. The aim is to demonstrate how AI can make performance marketing faster, simpler, and more accessible—even for small teams with limited resources.
🏆 Winning Project: AdGenius
AdGenius is an intelligent assistant for managing ad campaigns, combining “a Telegram bot” and “an interactive dashboard”. Our solution automates the analysis of key metrics (ROAS, CPA, CTR) in real time and provides “understandable recommendations” based on AI.
Key features:
- The Telegram bot answers queries (e.g. “Which campaign is performing best?”) and sends **automatic notifications** about critical issues.
- The dashboard (Streamlit) visualizes data from Meta, Google and TikTok and suggests **concrete actions** (reallocate budget, change creatives).
- “AI Recommendation button” generates recommendations with one click (e.g. “Increase budget on campaign X – expected ROAS 4.2x”).
Why is it important?
We eliminate manual work: no more comparing data from different sources. Even small teams can now make “fast and accurate decisions”, saving time and resources.
Team Members: Madina Malsagova | Nigorakhon Mamadalieva | Jahongir Abdujalilov
⇒ Watch the presentation
⇒ Discover the prize for this challenge!
Consorzio Clara – Cisco | Surf a sea of data with the America’s Cup and shape the future of Naples!
In 2027, Naples will host the America’s Cup, one of the most prestigious sailing events in the world. The city will be flooded with visitors, tourists, international sports delegations, and media operators, becoming a global hub—and facing significant logistical and environmental challenges.
Against this backdrop, the CLARA Consortium – Cisco’s Regional Networking Academy – aims to seize the opportunity to reinforce its commitment to tech innovation education by designing digital services to improve the urban experience and smartly connect the city of Naples during (and beyond) the event.
The goal is to leverage Cisco’s advanced technology solutions to enhance data availability, for example by:
- Improving urban mobility and accessibility along the seafront and port areas
- Enhancing the experience of the sporting event (live info, space navigation, contextual notifications, AR content)
- Optimizing the real-time flow of people and vehicles
- Offering personalized services to citizens, tourists, athletes, and staff
- Monitoring environmental/marine parameters or safety with smart sensors
This international event thus becomes a testing ground for new urban management models based on connectivity, sustainability, and civic engagement.
The Challenge
Participants are invited to imagine and develop a digital solution that improves the urban experience during the America’s Cup, with an impact that can extend beyond the event.
The proposal must be based on Cisco technologies and may take the form of an app, a web platform, an IoT system, or a combination of tools. The ideal system will address one or more aspects—from real-time environmental monitoring to smart waste management and mobility information—making the event more accessible and enjoyable for all.
At the core is the idea of a connected, sustainable city where technology not only solves problems but helps build a more aware, engaging, and participatory urban experience.
🏆 Winning Project: Waves – Move Better, Live More!
The “Waves – Move Better, Live More” app is designed to optimize the visitor experience during the America’s Cup 2027, addressing the unique logistical challenges of Naples. Through “Cisco” technologies for monitoring pedestrian flow and integrating real-time data, the app guides visitors to the least congested access points to Via Caracciolo, significantly improving the liveability of the event and reducing waiting times. The solution combines three core functionalities: event calendar, anti-crowding navigation system and regatta information center, creating a digital ecosystem that transforms a potentially chaotic experience into a fluid and engaging event.
Team Members: Igor Tarantino | Dario Saldamarco | Alessio Garzia Marotta Brusco | Gina Saviano | Laura Bracale
⇒ Watch the presentation
⇒ Discover the prize for this challenge!
EAV | Revolutionize public transport for a more sustainable, accessible, and efficient future
As environmental sustainability, social inclusion, and digital transformation of public services become global priorities, EAV is aligned with these values—publishing a sustainability report and a three-year digital transition plan for three years now.
Their initiatives include installing solar panels in Ponticelli (replacing and reclaiming 15,000 sqm of asbestos and generating 1.3 million kWh/year), station relamping projects, and the use of electric buses (in addition to already electrified train lines, which EAV aims to power with renewable energy).
Public transport itself is a key lever for sustainable change. EAV (Ente Autonomo Volturno), a mobility leader in Campania, is launching a challenge for young innovators to enhance the travel experience.
With new trains expected soon (after delays due to external issues), the aim is to rethink the relationship between citizens and urban mobility through smart digital solutions that:
- Encourage public transport usage, making it more appealing than private vehicles
- Simplify the passenger experience, making it more informed, interactive, and enjoyable
- Ensure full accessibility, removing physical, cognitive, or tech barriers
- Optimize operations using data, algorithms, and smart technologies
The Challenge
EAV invites participants to design a digital solution that meaningfully improves the public transport travel experience, making it more accessible and inclusive for everyone.
In a context where sustainable mobility is essential, innovative proposals are encouraged to simplify the passenger-service interaction, reduce private vehicle usage, and foster user trust—especially with new trains coming soon.
The goal is to develop a tool that guides citizens through their daily journeys, improving communication, usability, and accessibility of regional public transport. Teams may propose solutions ranging from informational or decision-support tools to those focused on inclusion, intermodality, and service personalization—gathering feedback and emphasizing sustainability and social impact.
🏆 Winning Project: EAVoilà
The project aims to solve one of the main problems that always pervades over time: optimizing the daily experience of both citizens and tourists. The application has as its main objective “simplicity” and “instantaneity”. Through these two principles, the app provides an experience that upon contact with all locomotives (both internally and externally) displays a QR Code through which direct communication of the desired route occurs. Furthermore, the camera scan can receive right from the train the possibility of understanding whether it is the right train for you. The aim is not to replace existing tools for consulting means of transport but to provide a more direct and immediately useful tool to ensure that people can (even without consulting the tables) get on or not on a certain EAV means of transport.
Team Members: Mattia Golino | Davide Belardi
⇒ Watch the presentation
⇒ Discover the prize for this challenge!
Graded Spa | EnergySmart B2B Challenge
Imagine the invisible world behind industries, hospitals, and networks of buildings. Every day, thousands of energy withdrawal points are monitored to track consumption and verify billing accuracy.
Today, this process is an obstacle course: fragmented data on various platforms, manual checks, and slow workflows. In a world racing toward efficiency, this is no longer acceptable.
The Challenge
Design software that collects, analyzes, and interprets data from multiple sources to anticipate potential risks—such as environmental alerts, infrastructure issues, or urban anomalies.
The system must deliver clear alerts and suggest real-time corrective actions to authorities or field operators. It should interact in natural language, integrate into existing dashboards or civic platforms, and improve over time with feedback.
The ultimate goal is to enhance the efficiency and timeliness of urban safety management, leveraging data to increase resilience.
🏆 Winning Project: PredictFlow – GBP
In today’s hyper-connected world, energy is the engine of everything we do, yet waste remains a silent but enormous challenge. How much energy is lost due to inefficient habits, outdated devices or simple lack of awareness? Huge amounts of precious resources are dissipated every day, impacting our bills and the planet. PredictFlow is your ultimate solution for turning complex data into predictive knowledge, helping you optimize every aspect of your life. Our app lets you easily upload files or connect to Data API to acquire any type of information, from energy consumption to seismic data. From there, PredictFlow takes control: it deeply analyzes your data, identifying hidden patterns and relationships, and then synthesizes it into clear and concise reports. Imagine having an immediate view of your electricity consumption: the app shows you not only how much energy you use, but also how and where you can save, identifying waste and suggesting specific optimizations to reduce your bill.
But the real power of PredictFlow is its ability to predict. Based on your historical data and advanced algorithms, it can predict future scenarios, whether it’s upcoming fluctuations in city traffic or potential seismic activity in Campi Flegrei. This gives you a strategic advantage and proactive awareness. Do you have questions about your reports or forecasts? Our intelligent chatbot is always at your disposal. Chat directly in the app and get immediate and relevant answers, thanks to data normalization. It’s like having a personal analyst who guides you through your information, making it accessible and actionable. With PredictFlow, the power of data, the clarity of answers and the accuracy of forecasts are finally at your fingertips. Turn your data into value.
Team Members: Enza Piccolo | Michele Gatto
⇒ Watch the presentation
⇒ Discover the prize for this challenge!
Nexus TLC Srl | Grow Sustainably: Reduce Carbon Footprint with IoT, Security & AI
Agriculture stands at a crossroads: essential, but environmentally impactful.
IoT and AI technologies offer the key to more efficient, sustainable farming—but this digital revolution is fragile. Without strong cybersecurity, every sensor and data point becomes a vulnerability.
True sustainability requires secure innovation.
The Challenge
Nexus challenges you to envision the future of agriculture.
Your mission is to design an intelligent platform that uses IoT sensors to collect vital field data and feeds it to software that optimizes resource use—from water to fertilizers.
The heart of the solution should be a carbon footprint calculator that offers actionable strategies to reduce it.
Security is non-negotiable: authentication, encryption, and anomaly detection mechanisms must be built in.
For teams aiming higher, consider extensions like real-time dashboards, predictive modules, or multi-user support for cooperatives.
Now’s the time to combine code, data, and security to grow a greener and safer future for all.
🏆 Winning Project: Green Tech
An innovative and eco-friendly solution aimed at reducing the “Carbon Footprint” of agricultural companies through the use of Generative AI and field data from IoT sensors, implementing state-of-the-art modern security measures such as authentication via Json Web Token (JWT) and OAuth2, encryption and hashing of user passwords via HMAC-SHA512 and server certificates to establish secure HTTPS connections.
Team Members: Antonio Avolio | Eugenio Levorato | Marta Sannino
⇒ Watch the presentation
⇒ Discover the prize for this challenge!
Protom Group Spa | Smart Charge: Reinvent the Charging Station with AI
Charging stations are reshaping our cities and companies, symbolizing the transition to electric mobility. Yet today, they’re seen merely as energy dispensers. Their real potential as intelligent, connected, and proactive tech touchpoints remains largely untapped.
AI is the key to unlocking this potential—transforming each station into a predictive, interactive, and adaptive service hub that communicates with users, vehicles, and the power grid.
The Challenge
Design an interactive UX/UI concept, a navigable mockup, or an experiential prototype showing how an AI-powered charging station can offer:
- Value-added services for users or operators
- Intelligent and proactive interactions
- New ways to integrate with the city, businesses, or urban mobility
It can be an interface, a service, a predictive logic, or any function—the keyword is: useful innovation.
Expected Output
- A clear experiential flow simulating the use of the new AI-based station
- A description of proposed features, with focus on benefits, use context, and innovation potential
- Optional: interactive mockup, video demo, or low-fidelity prototype
🏆 Winning Project: Mirai
Mirai aims to transform the experience of charging electric vehicles: the energy supply columns go from being simple charging tools for electric cars to real nerve centers of an extended network of tailor-made services for the end user, thanks to the use of Artificial Intelligence. At the same time, the technologies used allow the optimization of consumption, timing and the environmental impact that urban mobility has on the territory.
Team Members: Barbara Beatrice | Luigi Improta | Marco Losbefero | Chiara Guariglia | Alessandro Giuliano Iacomino
⇒ Watch the presentation
⇒ Discover the prize for this challenge!
So.Re.Sa | SINFONIA: AIGENT – Virtual Bridge for Healthcare Professionals
Soresa challenges you to design intelligent software to support the daily operations of Regional Operational Centers (COTs). It should assist healthcare operators by suggesting care pathways, flagging anomalies, organizing workflows, and facilitating communication between various actors in the healthcare system.
The goal is to build a simple, secure AI-based interface that integrates with existing processes and can make a difference in critical moments.
This is not just a tech challenge—but a human one: making digital tools truly helpful for those who work and receive care.
The Challenge
Design a Virtual Agent within the regional healthcare ecosystem to support operators using digital services in SINFONIA (booking systems, registries, vaccines, etc.), and facilitate communication between the Campania Region, Soresa SpA, and local healthcare providers—ASLs, hospitals, and districts.
The program should serve as a guide and an alternative communication tool—acting as a bridge between the Protocol system and the Sinfonia platform. Most importantly, it should allow authorized operators to easily interact with platform features in real time, integrating traditional tools like email or certified mail.
Specifically:
- Centralize information in a single, accessible channel
- Allow direct interaction between the operator and the Virtual Agent
The software must provide consistent answers aligned with Sinfonia Ecosystem guidelines, supporting operators during training and daily use. In a context where staff turnover is high, the program will help retain operational knowledge and ensure continuity in support processes—even when personnel changes.
🏆 Winning Project: Cliniko
Cliniko is a digital assistant designed to support healthcare professionals in providing regional digital services, simplifying complex tasks and promoting information continuity. Integrated as an always visible “side button”, Cliniko provides real-time contextual assistance: from making reservations to more complex procedures, it guides the operator step by step, explaining not only what to do but also why to do it, according to the guidelines of the “Sinfonia” ecosystem. Its interface helps to “quickly identify the actions to be performed”, while integrated training content promotes continuous learning and error reduction. Cliniko also manages filtered service updates, improving adaptation to organizational changes. Furthermore, thanks to the integration with the Sinfonia Salute app “for citizens”, it allows for a faster and more accurate information exchange, reducing waiting times and uncertainties. Cliniko is not just a technical tool, but a true ally to support the work of operators, increase the quality of care and build a more modern, efficient and citizen-friendly healthcare system.
Team Members: Vincenzo Pascarella | Anna Ceglia
⇒ Watch the presentation
⇒ Discover the prize for this challenge!
Techvisory | Search Driven Analytics
In today’s highly dynamic business environment, performance management requires agile and intelligent tools capable of quickly adapting to both internal and external changes. Organizations are increasingly expected to make strategic decisions in shorter timeframes, relying on vast amounts of data from heterogeneous sources.
Techvisory proposes a challenge aimed at designing a software capable of supporting teams and managers in governance by providing early insights, predictive assessments, and operational decision-making support to optimize processes and results.
The Challenge
Participants will propose solutions to develop a software capable of generating reports based on natural language queries. The solution must be able to extract information from a knowledge base (typically documents in Word, PDF, or Markdown) and display dashboards with aggregated data, all driven by natural language requests.
It is suggested to structure the solution in two steps:
- Extraction of predefined information from documents within the knowledge base;
- Access to the extracted data via natural language queries.
Participants should also describe how to extend the solution to allow extraction and reporting on data not previously extracted.
The solution must leverage AI while ensuring:
- GDPR compliance;
- Use of pre-trained open-source models;
- Optimization of hardware resource consumption (limiting the use of generative models)
🏆 Winning Project: Search Driven Analytics
The solution created for the Techvisory challenge is a dashboard that allows you to upload different types of company documents and query the data present within the documents through requests in natural language. Starting from the data extracted from the documents, the system generates graphs and tables appropriate to the type of data whose visualization has been requested. Open-source AI models are used to extract structured data from the documents and to convert requests from natural language to an appropriate query language. In particular, LLMs such as Llama or others. Local models ensure that sensitive data remains private and not exposed to the network. Furthermore, you can choose a more or less powerful model to optimize memory consumption and inference times.
Team Members: Simone Ingenito | Roberto Ingenito
