AI-FOR-SAFE-TRANSPORTATION-IN-SMART-CITIES

# PROJECT IDEA:

The system idea is to detect accidents on the road and the probability

of it happening in the future through analysis, and in case of

occurrence of such an event this will inform the appropriate

authorities and other interested parties with real-time information.

also detect severity automated.

# AI Model Used:

-We used the CNN model

to indicate whether an

accident occurred or not.

-We used the YOLO

model to detect Severity

of the accident

# STAKEHOLDERS:

- Normal user

-Tracker

# FUNCTIONAL REQUIREMENTS

-Ability to detect accidents in real-time

using various sensor inputs such as

cameras.

-Ability to inform the appropriate

authorities by the tracker (take action).

-The ability to generate real-time traffic

flow data, including traffic congestion

and delays, to help manage traffic and

reduce the risk of accidents occurrence

(GPS API).

-The ability to store, retrieve and provide

accidents data reports and statistics to

authorities and other interested parties

for future analysis and reporting.

# NON-FUNCTIONAL REQUIREMENTS

-Performance

-Reliability

-Security

-Maintainability

-Interoperability

-Usability

-Portability

-Availability

# USED SOFTWARE DEVELOPMENT LIFE CYLCE (SDLC):

-In our project, we have adopted the Agile Scrum methodology

for the development of AI-powered solutions in safe

transportation for smart cities.

-By embracing Agile Scrum, we delivered high-quality results,

foster collaboration, and adapt to evolving requirements

throughout the project lifecycle.

# Security:

-JWT (JSON web Token) is created

after authentication.

-JWT is used to authorize users.

-We apply validation to our token to

complete the user's request.

-Each token has expiry date and

revoke attributes.

-We used HTTPs for further security .

-We have white- and blacklists for APIs

to restrict access of users based on

authority and authentication status.

# DELIVERABLES:

-Real-time accident detection with

its severity and optimized traffic

flow are the key outcomes of our

AI-powered safe transportation

solutions for smart cities.

# Recommendations:

-Proactive Incident Detection:

Developing advanced AI models to

predict and detect potential accidents in advance, enabling preventive

measures and timely interventions.

# USED TECHNOLOGIES:

- Angular - YOLO

- Router - TensorFlow

- Spring boot - MySQL

- Python - Flask

- Microservices

# Dataset:

-We used dataset provided by

DELL