Ideas for preventing social security risks for people from 13 to 25 years old

Ideas for preventing social security risks for people from 13 to 25 years old

On the afternoon of November 19, information from the Social Order Management Police Department (C06, Ministry of Public Security), the organizing committee of the Data For Life 2024 international competition has identified 10 teams in the final round, these are The product is of interest to many people. Experts highly appreciate its feasibility and bring many new solutions to support today’s modern life.

Among the 10 teams competing in the final round, there are notable product solutions that help prevent social security risks for citizens from 13 to 25 years old based on many data sources using artificial intelligence from the ZeroToHero team. .

Ideas for preventing social security risks for people from 13 to 25 years old
The presentation round of the Data For Life competition was organized by the Ministry of Public Security.

According to the solution proposed by this group, the analysis of social security reserve warnings for the above age group comes from synthesizing data from many reliable sources, including: National population database. number;

These data sources are carefully collected and processed, creating representative data unique to each individual for more accurate risk analysis and prediction.

The results of the model will be classified into 3 levels: low risk, medium risk and high risk, providing useful information for authorities and managers to take measures for the above age group.

According to C06 representative, the above solution is deployed through a convenient website platform, allowing police agencies, schools, and management agencies to easily access and use.

The team is committed to protecting personal data and ensuring privacy with advanced encryption, ensuring no unauthorized access or data leakage;

“Young citizens from 13 to 25 years old are easily influenced by their living environment, family circumstances and social pressure.

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Products of 10 teams competing in the final round

1- Solution system for assessing airway emergencies before entering the hospital based on AI (from Singapore).

2- Integrated platform solution deploying machine learning models on cloud computing platform of NCB-CDS-AIML group (Vietnam).

3- The application uses Deep Learning models and geospatial data to calculate air pollution levels and provide health recommendations.

4- Hublock smart delivery cabinet solution of HubLock competition team (Vietnam).

5- Platform for integrating and exploiting smart “Digital Citizen Records” based on knowledge graph of CiviTrack group (Vietnam).

6- Solution to prevent social security risks of citizens from 13 to 25 years old, based on many data sources using artificial intelligence from the ZeroToHero group (Vietnam).

7- Self-service smart medical KIOSK solution from GOTRUST group (Vietnam).

8- Charity and Social Security Map of Military Commercial Joint Stock Bank (Vietnam).

9- Predict traffic risk areas and support digital traffic management using Artificial Intelligence (Vietnam)

10- Application of artificial intelligence in monitoring 15 cases of security violations in the city (Vietnam)

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