Intelligenza Artificiale in Azione
DTTI - Action in food
AI Tomatoes
Classe 4H
ITG, ITI, ITE di Vibo Valentia
Ball Matching
Classe 4H
ITG, ITI, ITE di Vibo Valentia
Dog Breeds
Classe 4H
ITG, ITI, ITE di Vibo Valentia
Artificial intelligence provides us with the answer about the dog breed type based on photo recognition.
The Best
Classe 4H
ITG, ITI, ITE di Vibo Valentia
PlantLeaf
Classe 4H
ITG, ITI, ITE di Vibo Valentia
Banana Deseas
Classe 4H
ITG, ITI, ITE di Vibo Valentia
Ballguesser
Classe 3F
ITG, ITI, ITE di Vibo Valentia
The program recognizes balls from various sports such as those used in soccer, basketball, rugby, tennis, and volleyball.
Brain Cancer
Classe 3F
ITG, ITI, ITE di Vibo Valentia
The project aims, through AI, to detect different types of brain tumors, including glioma, meningioma, pituitary gland tumor, as well as cases where no tumor is present—the software provides this outcome. It is designed for doctors and patients who can have a tool capable of delivering fast and accurate results, especially detecting early stages of the disease, which can be difficult to identify even for experts.
VisionAI
Classe 5F
ITG, ITI, ITE di Vibo Valentia
I soliti ignoti
Classe 5F
ITG, ITI, ITE di Vibo Valentia
The AiCar Detection app allows automatic and immediate recognition of different types of cars based on shape, size, and visual characteristics.
Flower Gang
Classe 3F
ITG, ITI, ITE di Vibo Valentia
It is an application that helps users quickly recognize the type of flower they are observing among five categories: rose, daisy, tulip, sunflower, and dandelion.
Fungo Sicuro
Classe 4F
ITG, ITI, ITE di Vibo Valentia
The main goal of the project is to provide a reliable tool for mycology enthusiasts, mushroom foragers, and industry professionals to correctly identify mushroom species and reduce the risk of accidental poisoning. The system will be able to analyze digital images of mushrooms, compare them with a database of known species, and return an accurate identification, also highlighting any potential dangers associated with the recognized species.
Planet x
Classe 3F
ITG, ITI, ITE di Vibo Valentia
The program uses AI to provide the user with the recognition of their geographical location, specifically identifying three types of landscapes: forest, mountain, or glacier.
Polmonite
Classe 3F
ITG, ITI, ITE di Vibo Valentia
This project uses artificial intelligence to analyze pediatric chest X-rays and detect pneumonia. The dataset includes images of children aged 1 to 5 years, divided into two categories: “Normal” and “Pneumonia.” The images were collected from a pediatric hospital and underwent rigorous quality control by expert doctors. The goal is to develop an AI system capable of supporting doctors in diagnosis, making it faster and more accurate.
Pomodoro Perfetto
Classe 4F
ITG, ITI, ITE di Vibo Valentia
In the agricultural and agri-food sector, accurately determining the ripeness level of tomatoes is essential to optimize harvesting, improve product quality, and reduce waste. Currently, this assessment is often subjective and depends on the experience of the operators, which can lead to errors or inconsistencies.
Our solution is a mobile application based on Computer Vision and Artificial Intelligence that allows users to take a photo of a tomato and receive its ripeness level in real time. The app uses convolutional neural networks (CNNs) trained on a labeled image dataset, recognizing the different ripening stages (e.g., green, turning, ripe, overripe).
Pomodoro Sano
Classe 4F
ITG, ITI, ITE di Vibo Valentia
The purpose is to help tomato growers not only identify whether a plant is affected by a disease but also determine its type, thus enabling timely intervention with the appropriate countermeasures. If the plant checks are performed with the right frequency, it can lead to good maintenance of the plants’ health, resulting in increased production and improved quality.
Tomato
Classe 3F
ITG, ITI, ITE di Vibo Valentia
With this AI model, the user is helped to correctly recognize whether the tomato they are buying is ripe or still unripe.
Beef Or Not To Beef
Classe 4A
F. De Sanctis - O. D'Agostino - A. Amatucci
Improve meat selection by consumers. The goal is to assist consumers with AI in choosing the quality of meat, thereby preventing food waste and improving consumer health.
BIOWILD
Classe 4A
F. De Sanctis - O. D'Agostino - A. Amatucci
Pests and plant diseases have a negative impact on agricultural production. Early diagnosis helps prevent and control pests and plant diseases, which also play an important role in the management and decision-making process of agricultural production. The project aims to find a solution for the early diagnosis of damage agents or diseases in a specific species intended for human consumption through AI.
EqualEyes
Classe 4IA
ITI Lucarelli
EqualEyes is a plugin that monitors and analyzes online content in real time, identifying sexist language and violent images. It outlines pages and highlights offensive words, enabling human intervention for the rapid removal of harmful content, thereby promoting a safe and respectful environment.
I bottari 2.0
Classe 4A
F. De Sanctis - O. D'Agostino - A. Amatucci
The project aims to observe and analyze the leaves of the Hazelnut tree (Corylus Avellana), with particular attention to the difference between healthy leaves and those infected by pathogens or pests. The role of AI is to identify plants that require leaf intervention and detect the disease affecting the leaves.
Crop yield prediction
Classe 4A
F. De Sanctis - O. D'Agostino - A. Amatucci
Agricultural businesses lose millions every year due to the late diagnosis of diseases or damage caused by insects. The idea is to provide an automated and fast system using AI, capable of detecting, through a simple photo taken with an iPhone or a drone, to provide an instant diagnosis.
A Delicious Team
Classe 4B
Liceo IESS
Localicious-AI is a mobile app based on artificial intelligence and computer vision, designed to help consumers discover the geographic origin of food products through a simple scan.
Thanks to automatic recognition of labels, the app identifies the product’s origin, indicates if it is local, and promotes conscious purchasing of short supply chain foods.
The goal is to reduce pollution related to transportation and enhance local producers, addressing the issue of limited awareness about food provenance.
Ansuz Solution
Classe 5J
IIS Piero Gobetti
A world of fish in danger! Issues related to:
-Selective fishing
-Bycatch
-Recreational fishing.
Ansuz Solution therefore proposes a solution to protect all fishermen worldwide: Fishpert.This application, usable on the web and mobile devices, helps fishermen recognize the fish they catch. Our app allows users to maintain a history of analyzed fish, providing detailed descriptions.
Apple
Classe 5J
IIS Piero Gobetti
The manual sorting of rotten apples is a costly and inefficient process, both in terms of time and money. The personnel involved represent a significant expense, and the outcome is prone to human error, reducing the process’s reliability. Our goal was to create a web and mobile application that could revolutionize the food industry, based on the development and training of a teachable machine (AI) that recognizes input images, thereby making the work of our farmers easier.
Chill Buddy
Classe 4E
Liceo Volta Fellini Riccione
Our goal is to help people reduce waste and simplify daily life through a smart refrigerator equipped with a camera accessible via the “Chill Buddy” app. The fridge will have a reader capable of recording the expiration date of all inserted products and notifying the consumer. The app will also provide possible recipes using products nearing their expiration.
DLSD
Classe 4B
Liceo IESS
AgroVision AI is an app based on computer vision and artificial intelligence designed to improve agri-food production management through monitoring, analysis, and optimization of agricultural processes and plant health status.Our solution is a mobile application based on Computer Vision and Artificial Intelligence that allows users to take a photo of a tomato and receive its ripeness level in real time. The app uses convolutional neural networks (CNNs) trained on a labeled image dataset, recognizing the different ripening stages (e.g., green, turning, ripe, overripe).
Food Roots
Classe 4E
Liceo Volta Fellini Riccione
Our goal is to create an application that allows anyone to easily trace the origin of the ingredients in food products, with the aim of improving their diet by choosing, as much as possible, natural and therefore healthy foods.
Fruit Sorter
Classe 4E
Liceo Volta Fellini Riccione
Fruit Sorter is a device that, through an advanced scanning (recognition) system, is able to accurately identify rotten fruits on tree branches and collect them separately from those ready for consumption.
I Frighi verdi
Classe 4B
Liceo IESS
Through a simple app, users receive personalized reminders when a food item is approaching its expiration date, along with suggestions on how to use it in cooking. In this way, GreenFridge not only helps prevent waste and save on grocery bills but also promotes a more sustainable lifestyle by offering conscious and intelligent control over what we have at home.
I Grappolini
Classe fJ
IIS Piero Gobetti
The idea is to create a tool capable of simplifying vineyard management by monitoring the growth and health of the plants and providing useful information for optimal crop care. For this reason, the project is designed to be offered to all vineyard owners, from small entrepreneurs to large grape producers. The project also aims to reduce operational costs related to vineyard management by optimizing the use of resources such as water, fertilizers, and labor, thanks to the analysis of data collected by the tool.
Naturlytics
Classe 4B
Liceo IESS
Using machinery equipped with cameras capable of analyzing specific parameters (such as leaf color and structure), our project ensures reliable analysis and provides precise indications about the health status of the plants or the optimal time for harvesting the fruit.
The solution is designed for agricultural enterprises of all sizes, aiming to increase yield, reduce care costs, and optimize crop management.
LuxMalum
interclasse (5C e 5D)
ISISS Einaudi-Molari
The proposal involves the development of various devices, both portable and non-portable, equipped with a multispectral camera and artificial intelligence to monitor the health of fruits and plants in real-time, identifying diseases invisible to the naked eye. Offered in various versions (economical and professional), the system uses Computer Vision to analyze images by comparing them to an online database. The goal is to reduce waste and improve crops. The project requires sensors, processing modules, batteries, Bluetooth or satellite connections, and an image dataset to train the AI model for plant disease recognition.
Nutriplanner
Classe 4E
Liceo Volta Fellini Riccione
Nutriplanner is an app designed and developed to ensure a healthy and balanced diet amidst the hustle and bustle of everyday life. Thanks to Nutriplanner’s features, you will be able to receive a personalized plan tailored to your goals and individual needs.
AgriPro365
Classe 3APSC
IIS Jacopo Linussio di Udine
AgriPro365 is a company that helps small farmers through an application, offering the ability to take photos of their land, finished products, or even the sky, and by using Computer Vision, obtain the best solution for their needs.
A.G.A.
Classe 4MA
IIS Celestino Rosatelli
Through computer vision, real-time photos and videos of soil, plants, and fruits allow us to better understand the needs of our crops (plant hydration, fruit conditions, and the presence of pest insects). Thanks to an application, we aim to manage the data described above and automatically provide a quick and effective solution powered by AI.
Bio- technologies
Classe 3BB
IIS Celestino Rosatelli
Through geo-mapping, pests and diseases affecting cherry trees can be detected using computer vision via drones equipped with cameras, or through a map that pinpoints the infested areas.
EcoAi
Classe 5AFM
IIS Margherita Hack Morlupo
Our goal was to create an intelligent system that, through the use of artificial intelligence, can recognize and classify waste into the categories of paper, plastic, glass, and organic waste. We used Google’s Teachable Machine to train an AI model with real images of the various types of waste.
ERCESAR
Classe 4SB
IIS Celestino Rosatelli
It is often very difficult to tell whether a carrot has gone bad or is still good to eat. Our entrepreneurial idea solves this problem: through computer vision and a teachable machine, it is possible to determine the freshness of carrots. You simply upload an image of the harvested carrots, and the result is provided instantly!
F.I.G.A (Fondazione italiana giovani agricoltori)
Classe 4MA
IIS Celestino Rosatelli
We have envisioned a remote drone system equipped with a camera that can analyze the soil, allowing us to remotely identify any existing problems.
FASTFARM
Classe 4EB
IIS Celestino Rosatelli
Agriculture and sustainability. Helping farmers identify problems in their plantations by detecting possible diseases or pests through computer vision, and finding an appropriate and sustainable solution to the issue.
Gli irriducibili
Classe 3BB
IIS Celestino Rosatelli
Find an application that allows us to be notified when food inside our refrigerator is developing mold.
SKAPPY CLUB
Classe 4AE
Istituto Via Copernico
The idea is based on a smart scale that, through the use of computer vision, can detect the ripeness level of fruit and determine a fair price accordingly, to encourage sales and reduce food waste.
Students for AI
Classe 3SQ
IIS Celestino Rosatelli
An intelligent camera equipped with computer vision technology, capable of analyzing and identifying fresh food stored inside a refrigerator or a fruit basket in real time. Thanks to computer vision, the system constantly monitors the preservation status of fruits, vegetables, and other perishable products, determining which items are nearing expiration. This allows timely alerts on which foods should be consumed soon to avoid waste and which are no longer suitable for consumption, ensuring efficient and safe management of household supplies.
Underdog
Classe 3EA
IIS Celestino Rosatelli
To recognize the quality of a fruit or vegetable using artificial intelligence.
5G RIM
Classe 5G RIM
ITET A. Bassi
Managing food freshness to reduce food waste and improve food safety, because people often struggle to determine when fresh foods have spoiled or expired. Attached, along with the requested final output, we also include our product created in PowerPoint and using computer vision, specifically the teachable machine.
fAIrmer
Classe 3CI
ISIS Keynes
The main goal is to develop a Computer Vision integration to promote a better lifestyle through nutrition.
Our idea is based on an application that allows users to have a garden and see the needs and requirements of each plant.
FruitO
Classe 3CI
ISIS Keynes
The challenge concerns the agri-food sector: our solution involves developing an app that, by adding purchased fruits and vegetables through the camera to a Pokédex-like system, promotes the consumption of fruits and vegetables to build a healthy diet by recommending recipes using the purchased products.
Good Honey
Classe 4D
IIS Alberti
A service dedicated to beekeepers that, through the identification of photographs, allows recognition of honey quality and detects the presence of diseases, bacteria, or various defects.
CHECCO'SQUAD
Classe II A ITI
I.O. D. Alighieri - I.I.S. Sigismondi
Camera to be placed in the deli section of grocery stores and supermarkets. The camera detects early signs of mold and bacteria presence before the contamination spreads to nearby products. If any food alteration is detected, the system sends an alert message to the department manager, who then promptly removes the compromised item.
Digital Pathfinders
Classe 3sb
I.I.S Celestino Rosatelli
Our idea is to reduce food waste through an app that, by taking a photo of a food item, calculates the “satiety” of that food. The role of AI is to recognize the food and, accordingly, suggest an appropriate quantity using computer vision. The app will be available for both iOS and Android.
Ecogoccia
Classe 4 MAT
I.O. D. Alighieri - I.I.S. Sigismondi
Create remote-controlled drones powered by artificial intelligence, equipped with Computer Vision, allowing them to scan the ground to detect if the soil is too dry. The drones automatically activate the sprinklers until the soil reaches an adequate moisture level.
Un casco di idee
Classe 4BA
Celestino Rosatelli
“This software has the ability to compare banana leaves, either through photos or in person, and compare them to those of infected trees, allowing for the identification of potential diseases.
The detectable diseases are: Panama disease, black sigatoka, infection from the bract mosaic virus, insect or pest disease, Moko disease, and yellow sigatoka.”
3 GARA
Classe 3 GARA
I.O. D. Alighieri - I.I.S. Sigismondi
Tackle the challenge of nutrition and food safety, with the goal of reducing food waste. The project is based on the development of a new household appliance that will revolutionize the function of a standard refrigerator, by scanning the products inside it (fruits, vegetables, milk, etc.). Its operation detects any food degradation (expiration and mold) and the ripening of fruits and vegetables. This refrigerator will have a display on the front with cameras inside that will detect product expiration dates and potential mold on fruits and vegetables, along with temperature sensors.
I Greens
Classe 3ITAFM
Istituto Maria Consolatrice Milano
The idea consists of using AI to suggest alternative uses for the waste produced daily in a household environment.
Blind Fruit
Classe 4A SIA
IIS P. Cuppari - S. Salvati Ancona
The Feel The Fruit software can confirm to the user whether the fruit is ready to be eaten. The application features a voice guide useful for visually impaired or blind people.
Tomato Doc
Classe 4A SIA
IIS P. Cuppari - S. Salvati Ancona
TomatoDoc is an app developed to help farmers or cultivation enthusiasts monitor the health of their tomato plants, checking whether they are healthy or not.
Toad
Classe 4B SIA
IIS P. Cuppari - S. Salvati Ancona
The application uses AI to inform the user, through photo recognition, which types of mushrooms are edible and which are not.
Strawberry Sense
Classe 4B SIA
IIS P. Cuppari - S. Salvati Ancona
The application scans photos of strawberries and helps farmers optimize the harvesting process.
Green Together
Classe 4ASC
IIS Vittone
We have developed an app (Fragolacheck) aimed at hobbyist gardeners who could potentially detect plant diseases in strawberries at an early stage. We chose strawberries because, along with tomatoes and aromatic plants, they are among the most popular species for those venturing into this field. The use of our app would help reduce the consumption of pesticides/fertilizers chosen randomly, contributing to environmental well-being.
AgriTeam
Classe 5C INF
IISS G. Ferraris
The system leverages artificial intelligence and a network of advanced sensors to optimize and automate the sorting, grading, and classification of fruits and vegetables throughout the logistics chain. Products on the conveyor belt enter an analysis box equipped with LED lighting that ensures optimal conditions for measurements.
AgrItech Innovation
Classe 3B SIA
ITET Tannoia di Bari
Through automated analysis of the images provided to the system, the project aims to optimize the diagnosis of plant diseases.
EcoBite
Classe 3Ai
ITET Luigi Di Maggio
AI is at the heart of EcoBite, enabling visual recognition and accurate classification of food waste through computer vision. It estimates the discarded quantity by analyzing size and volume. It can assess the state of decomposition, providing clues about the causes of waste. It also identifies packaging, distinguishing it from food. It analyzes the collected data to generate key insights on waste patterns. It provides personalized feedback to users to help them reduce waste. It facilitates integration with other food and waste management systems. In short, AI transforms simple scanning into intelligent and proactive food waste analysis.
Eco Green House
Classe 3Bi
ITET Luigi Di Maggio
Encourage the production of organic, locally sourced products (km0), thus promoting food education towards sustainable eating;
Optimize the timing and collection of environmental data; Reduce waste and CO² emissions; Decrease non-disposable waste; Adopt practices that give new life to objects; Limit the use of preservatives and pesticides to protect the environment and health.
Gold Diggers
Classe 4I
ITET Tannoia di Bari
Through remote monitoring of olive trees using drones or cameras, computer vision technologies can analyze images to identify changes in leaf color, plant structure, and other stress indicators, such as drying, which may suggest the presence of the Xylella bacterium.
Fruit Group
Classe 3CINF
Cassandro Fermi Nervi
Fruit Vision is a software based on Computer Vision and AI that allows recognition of the ripeness level of fruit. The goal of the project is to reduce food waste along the agri-food supply chain by helping producers, retailers, and consumers identify the optimal time for fruit consumption or sale.
Gli innovatori del futuro
Classe 3CINF
Cassandro Fermi Nervi
The project consists of software capable of detecting the main olive tree diseases in real time, without the need for manual interventions or field inspections.
Interactive Minds
Classe 3CINF
Cassandro Fermi Nervi
The goal of the project is to support wheat growers in quickly recognizing, through a photo taken with their device, whether their plants are healthy or affected by wheat rust.
Merenda SMART
Classe 3B SIA
ITET Tannoia
The project aims to reduce the consumption of snacks and junk food in schools by using a computer vision system powered by artificial intelligence to monitor excessive intake of these foods.
Sito Agricoltura
Classe 3F INF
Cassandro Fermi Nervi
We are offering a free service for analyzing diseases affecting carrots.
This service is powered by a specially trained AI that analyzes the uploaded photo.
SOS Pomodori
Classe 3INF
Cassandro Fermi Nervi
The students, organized in groups, developed various ideas applying artificial intelligence to detect different diseases affecting plants.
A sixth group will submit their project next.
Giovani thug
Classe 3Csia
ITET Tannoia
We aim to tackle the issue of obesity in order to promote a healthier and more sustainable lifestyle. By training the dataset on Teachable Machine, we will analyze the factors that contribute to an unhealthy lifestyle and, over time, may lead to obesity.
Xylella Company
Classe 4Atec
IISS Mons. Bello
The challenge is to eliminate the threat (Xylella), a parasite that has caused widespread damage throughout Southern Italy. The idea is to install electronic devices, controlled by an app, to release sound waves powerful enough to stun the parasite and suppress it.
AgriMind
Classe 3D INF
ITS Marchi-Forti
The project “Automatic Greenhouse with Switchable Glass and Intelligent Crop Control” proposes an innovative agricultural solution that combines advanced technology and sustainability. The greenhouse is equipped with electrochromic or thermochromic glass panels that regulate the amount of sunlight entering, optimizing internal temperature according to the seasons and crop needs.
At the core of the system is Artificial Intelligence, which processes in real time data collected from environmental and biological sensors (temperature, humidity, plant growth, plant health.
Alba dell’est
Classe 3F
ITS Marchi-Forti
Our idea is to create a leaf disease recognition system through a robot. Moving through the field, it can identify plants that are unhealthy and notify the farmers, helping them prevent extensive damage to their crops.
Artificial intelligence is valuable both for its speed and knowledge, as well as its low likelihood of error. It can also assist in recommending treatments and evaluating whether it’s cost-effective to invest in curing a plant, since AI combined with good hardware components can recognize the disease, its current stage, and possible remedies.
The Smarties
Classe 3D INF
ITS Marchi-Forti
The goal of our project is to assess the conditions of cultivated fields by sorting waste into designated containers. To scan the cultivated fields, a drone equipped with AI and a 360° camera is used, saving data to a database and comparing it with a dataset hosted on a web server.
Tramonto dell'ovest
Classe 3F
ITS Marchi-Forti
The entrepreneurial idea is based on using artificial intelligence to revolutionize how we analyze and manage nutrition. Through computer vision, the system recognizes foods from a photo, estimates their macronutrients—with particular focus on proteins—and assesses their ripeness stage. The AI integrates visual and nutritional data to offer personalized food combinations, adapting to the user’s estimated caloric and protein needs.
What's in season?
Classe 3CP e 3DP LES
Istituto San Giovanni Bosco
We conceived an application that, through the simple act of pointing your phone’s camera at a fruit or vegetable, analyzes its seasonality using artificial intelligence tools, particularly computer vision, thereby encouraging conscious and sustainable consumption.
WineCoders
Classe 4TI3 e 5TI1
ISIS Angelo Vegni
The project was created with the goal of enhancing the Angelo Vegni Institute’s Winery, an educational and productive entity that combines agricultural and IT training with the Tuscan winemaking tradition. In a context of increasing competition and digital evolution, the project aims to strengthen the visibility of the winery, attract a young and tech-savvy audience, and reduce waste related to winemaking production. Artificial intelligence will be at the heart of this digital transformation with an intelligent chatbot: a conversational AI assistant integrated into the website that will guide users in discovering wines, answering questions in real time, suggesting personalized food and wine pairings, sharing interesting facts about production processes, and facilitating the purchasing experience. This will help engage a younger audience more effectively and amplify the educational value of the offering.
AGROVISION
Classe 3A - 3G
Liceo Scientifico Galilei
Analyze satellite images and the vigor of cultivated fields through computer vision to divide them into zones based on the biomass present and, consequently, the soil fertility. Thanks to this project, farmers can adjust the levels of fertilizer and nutrients accordingly.
Conosciamo semplifichiamo con IA
Classe 4B
IIS Cavour Marconi Pascal
Creating an application focused on Agriculture 4.0 is an enthusiastic and very timely idea! Agriculture 4.0 is based on integrating advanced technologies such as IoT, artificial intelligence, Big Data, and robotics to optimize agricultural production, reduce environmental impact, and improve sustainability. Developing an app that helps farmers use these technologies can not only improve production efficiency but also contribute to reducing the environmental impact of agricultural practices.
GreenEYE
Classe 3D - 3E - 3S
Liceo Scientifico Galilei
Crop management requires time, experience, and constant presence in the field—challenges often difficult for newcomers to handle. Mistakes in irrigation can harm plant health and increase waste. Our idea is an app that, through computer vision, analyzes the plant’s condition and decides whether to water it, also taking weather forecasts into account. This way, we support farmers in automating crop care, optimizing both time and resources.
I volpacchiotti
Classe 2b liceo
IO D. Alighieri - IIS Sigismondi
Our class has decided to take on the challenge: “Reduction of food waste.” We have designed a scanner, connected to a mobile app, that provides useful information to help determine whether foods, beyond their expiration date, can still be consumed to avoid throwing them away.
Straordinariamente IA
Classe 3B
IIS Cavour Marconi Pascal
Our entrepreneurial project, “GlobalNatural.IO”, was born from the need to answer the question: “Do we really know our territory and the resources it offers us?” Starting from this central theme—the Agrifood sector—we decided to focus on the agricultural and botanical resources available in nature and their everyday use. Through online research, we discovered that nature offers us a multitude of resources largely unknown today —resources that not long ago were widely used by our grandparents both in the kitchen and in medicinal and cosmetic fields.
Glance
Classe 3B ITI
IO D. Alighieri - IIS Sigismondi
Our proposed solution consists of collecting historical data and obtaining real-time information on the hydro-metric and thermal conditions of cultivated surfaces. Specifically, the approach to obtaining this information could integrate CV systems and direct sensors.
1ALSU
Classe 1A LSU
IO D. Alighieri - IIS Sigismondi
A camera that turns the refrigerator into a smart appliance. The camera, connected to a mobile app, detects which products need to be consumed immediately every morning and generates a recipe to use them.
ACCAdueO
Classe 3A ITI
IO D. Alighieri - IIS Sigismondi
The challenge we have chosen falls under the macro area “technology and innovation”: technological changes and innovations. Our project involves designing an intelligent rainwater collection system and its eco-sustainable distribution in private homes, particularly for managing home gardens.
GLI HULK
Classe 1 A ITI
IO D. Alighieri - IIS Sigismondi
Mobile application. At the time of purchase or when restocking products in the pantry, by scanning the products, the app stores their expiration dates. A few days before the expiration date, a message appears on the phone notifying that a specific product is about to expire. Since this process might seem a bit tedious, the app transfers a certain amount (for example, 0.1 euros) to the bank account or returns it in the form of discount vouchers for each scanned product.
I cervelloni
Classe 2B ITI
IO D. Alighieri - IIS Sigismondi
A mobile app that tells you which nutrients are present in certain types of fruit.
#UNMONDOMIGLIORE
Classe 2ALSU
IO D. Alighieri - IIS Sigismondi
Application that allows distinguishing healthy fruit from fruit no longer usable to prevent food waste.
Smart Chefs
Classe 4B AFM
ITE G. Piovene di Vicenza
CookMe è un’applicazione di cucina guidata, passo dopo passo, che utilizza brevi video per insegnare agli utenti come cucinare diversi piatti deliziosi. Combina la potenza dell’intelligenza artificiale e della tecnologia di riconoscimento delle immagini per aiutare l’utente ad utilizzare prioritariamente gli ingredienti di cui già dispone.
FoodSnap
Classe 4B AFM
ITE G. Piovene di Vicenza
An app based on computer vision that allows users to take a photo of an ingredient and immediately receive information about its freshness, nutritional properties, and usage suggestions. The app also detects contamination, helping users make safer and more informed food choices.
Bombardili
Classe 4B RIM
ITE G. Piovene di Vicenza
CookVision is an app that uses the camera and artificial intelligence to monitor food cooking in real time. It recognizes the type of food and alerts when it is perfectly cooked or at risk of burning. It is useful for chefs, restaurants, and cooking enthusiasts. It helps avoid mistakes, improve quality, and reduce waste.
Jana
Classe 4B RIM
ITE G. Piovene di Vicenza
The “CheCucino?” project was created to address the problem of food waste and lack of inspiration in the kitchen. The app uses computer vision to recognize photographed ingredients and suggest original recipes that can be adapted to the user’s preferences (diet, time, difficulty level).
Drink Scanner
Classe 4B RIM
ITE G. Piovene di Vicenza
With DrinkScanner, users can take a photo of an alcoholic or non-alcoholic beverage and receive detailed information about the ingredients, the amount of alcohol present, and, if desired, suggestions for healthier variants or alcohol-free alternatives.
The Diet Team
Classe 5BC
IPSEOA Pietro D'Abano
This project aims to create an app that not only helps people follow a diet but also motivates and supports them in the long term, integrating technology, nutrition, and psychological well-being. The use of computer vision allows the analysis of meal images taken by users to accurately identify the foods present, the ingredients, estimate portion sizes (helping to monitor calorie intake appropriately), suggest dishes or modifications to existing meals to improve nutritional balance, and constantly track the meals consumed, providing feedback.
AgriInnovators
Classe 3Bi
De Ferraris
The goal is to move towards organic and sustainable agriculture by introducing a “non-disruptive” process for companies in the sector, through two steps: 1) Monitoring of crops and 2) Data analysis.
AI Green
Classe 3CT
Rutelli
The growing deforestation and pollution of natural areas threaten ecosystems. Our project aims to use Computer Vision to monitor in real-time the condition of urban and rural green areas. The goal is to detect signs of environmental degradation (waste, tree cutting, fires, etc.) in order to intervene promptly.
FaiBite
Classe 4CLS
Rutelli
Today, it is difficult for consumers to know if a food product has been made without child labor, pesticides, or chemicals. Labels are often not enough, and there is a lack of transparency in the supply chain.
Our project offers a platform that allows consumers to easily identify which companies produce food ethically and sustainably, providing clear information on the origin, production methods, and certifications.
Green 2025
Classe 5CT
Rutelli
Use an AI system that promotes smart shopping by suggesting local or seasonal alternatives. These foods require fewer resources to grow and transport, reducing the ecological footprint and supporting the local economy.
GreenIVBlab
Classe 4BLS
Rutelli
The proposed product includes an application that accurately and instantly diagnoses the health condition of the plant.
GreenVision
Classe 3C
Rutelli
We have decided to tackle one of the main problems in this sector: recognizing the quality of agricultural products (such as fruits and vegetables) to reduce food waste and help producers sell more effectively. Our idea is to use an AI-based system to automatically recognize, through images, whether a fruit is good or not, directly in the field or at the supermarket.
Guardiani dello sguardo
Classe 4CT
I.I.S.S. "Pio La Torre"
This innovation is used to identify and verify people’s identities based on the unique features of their face following a registration process. It is widely employed in security systems, biometric payments, and social media. It works by analyzing facial features, such as the distance between the eyes, the shape of the jawline, and other unique characteristics.
HandBridge
Classe 5AW
I.I.S.S. "Pio La Torre"
Our project aims to help deaf individuals with hearing difficulties communicate by using artificial intelligence that recognizes sign language in real-time through a webcam and converts it into text and voice, thus facilitating communication.
I ragazzi della 3AT
Classe 3AT
Rutelli
Our project addresses the problem of mass tourism, which causes overcrowding at tourist sites and worsens the visitor experience. We have come up with a system that uses Artificial Intelligence and Computer Vision to count people in a tourist area by analyzing images or videos.
Le leggende
Classe 4CT
Rutelli
Our idea for AI in the agri-food sector is to provide more information in supermarkets about the products on the shelves, making it easier for people in need, especially the elderly, to find them with greater ease.
Legends of Tomorrow
Classe 4BW
I.I.S.S. "Pio La Torre"
Create security solutions based on facial recognition for businesses, especially for offices and stores. The system can be used to monitor access to restricted areas, ensuring that only authorized individuals can enter certain environments and preventing theft or unauthorized access.
Maturandi 2025
Classe 5BT
I.I.S.S. "Pio La Torre"
An effective tool to combat food waste and improve the circular economy is the SMART FRIDGE, an intelligent refrigerator that offers advanced features compared to traditional refrigerators, providing alerts about expiration dates or foods to be consumed.
TasteAI
Classe 4BT
Rutelli
Develop an AI-based system that analyzes consumer taste preferences to guide cultivation choices, optimizing the quality, quantity, and organoleptic characteristics of agricultural products.
Utteam
Classe 5ALS
Rutelli
The UBBISNESS project is a digital platform that connects students interested in offering or requesting micro-services for school and everyday tasks. The vision is to create a collaborative community where each student can leverage their skills for others while earning credits or small amounts, creating an exponential return.
Vaso Hi-Tech
Classe 4
I.I.S.S. "Pio La Torre"
The group has designed a device capable of solving the problem of monitoring plant health in a simple and effective way for non-expert users, such as students, workers, or gardening enthusiasts. The goal is to create a Hi-Tech pot equipped with sensors, a camera for computer vision capable of recognizing signs of distress in plants (dry or yellowing leaves, overly wet or dry soil), and providing guidance on how to intervene through a programmable device designed and built with modular components (Raspberry Pi, Arduino).
VisionAIre
Classe 3B
Rutelli
The project addresses the issue of unemployment, particularly among young people and adults in the process of requalification.
Our solution is a platform that, using AI, analyzes the user’s profile (CV, skills, interests) and generates a skills analysis, an optimized CV, suggestions for training courses, and job offers that align with the user’s profile.
VoyageVibe
Classe 4AT
Rutelli
Our solution involves the development of an app that allows visitors to a city to book experiential tours led by local young people. The app promotes social inclusion and enhances local culture, creating a direct bridge between young people and tourists through authentic experiences.
