As young people face increasing social security challenges, from violence and crime to mental health issues, addressing these risks has become a pressing concern. That’s why the ZeroToHero team developed this initiative to help reduce these dangers.

Multi-source data collection

The solution integrates data from many trusted sources, including: National Population Database; Crime Data; Student Data; Individual Credit Score Data; Health Insurance Data and other related information.

These data sources are carefully collected and processed to create different data vectors that represent each individual, serving the purpose of accurate risk analysis and prediction.

Analysis using artificial intelligence models

Once the data is standardized, the app analyzes, evaluates and predicts each individual’s social security risk level.

The model results in three levels of risk classification: low risk, medium risk and high risk, providing officials and managers with useful information to take timely preventive measures.

Get results quickly and easily

The solution is distributed through a convenient website platform that allows law enforcement agencies, schools, and governing bodies to easily access and use it. Users can enter their personal identification number to receive risk level information or export lists of citizens aged 13 to 25 in a given area for monitoring and intervention purposes when necessary.

Data security and privacy

The ZeroToHero team is committed to adhering to the highest standards of data security and privacy. All personal information is protected by advanced layers of encryption to ensure it is not accessed or leaked illegally.

During the analysis process, data is anonymized and only authorized personnel can access certain personal information. The solution strictly complies with current data protection regulations, ensuring all information is used appropriately and kept completely secure.

Key Benefits of the Solution

Early diagnosis and prevention: Young citizens between the ages of 13-25 are easily affected by the environment they live in, family conditions and social pressures. With modern artificial intelligence models, personal information, behavioral history and living conditions are comprehensively analyzed to predict legal violations and support law enforcement in early detection and timely intervention.

Comprehensive, multidimensional data: Collecting and analyzing data from a variety of sources allows the solution to provide a holistic view of each individual’s situation and risks.

User-friendly interface: The website platform is designed to be intuitive and easy to use for searching and generating reports, helping authorities implement the solution into their daily work.

Optimum data security: The advanced security system ensures that all personal information is fully protected, giving authorities the confidence to use the solution without worry of a data breach.

Minimized evaluation errors: The use of artificial intelligence reduces subjective bias in risk assessment, ensuring fairness and accuracy compared to traditional methods.

Quick decision-making support: Artificial intelligence can process large volumes of information in a short time, helping authorities make timely decisions on response measures.

Optimized resources and cost reduction: The AI ​​solution focuses on high-risk individuals, avoiding unnecessary interventions on those at low risk, thus optimizing social resources and reducing costs for authorities.