Intelligent Cell Phone Application to Prevent Driving Accidents

Our main vision of designing this application is to provide safe driving and prevent from various road accidents. This application is designed for all those people who don?t want to miss their message or calls as they could be important to them. We will design an app which will enable the dr

Project Title

Intelligent Cell Phone Application to Prevent Driving Accidents

Project Area of Specialization

Information & Communication Technology

Project Summary

Our main vision of designing this application is to provide safe driving and prevent from various road accidents. This application is designed for all those people who don’t want to miss their message or calls as they could be important to them.

We will design an app which will enable the driver to send messages and will be able to receive the incoming messages using text-to-speech. Driver can reply to the recipient by sending a voice command without having in touch with the phone. This app also enables Driver to turn on the auto reply mode Priority will be set on the list of contacts, so that the app will only read and notify those messages for which user set a priority. Machine learning algorithm is implemented on the backend of our application that will filter the important contacts. The app will show the emergency message of the recipient which are not in the driver’ s priority list through this algorithm. Driver can select the desired app from the app option menu for which he wants to get notifications. In case of emergency, t emergency contact information will be displayed on lock screen for the purpose to inform the victim relative or friend.

Project Objectives

The main target or user of our application is the driver.  Driver safety is taking into account by developing this application. There are many features are provided and implemented into this application for the concern of driver safety. The features which we provided into our application are as follows:

• This app will enable the driver to send messages through internet and will be able to receive the incoming messages using text-to-speech.
• Driver can reply to the recipient by sending a voice command without having in touch with the phone.
• Driver can enable auto reply mode.
• Priority will be set on the list of contacts, so that the app will only read and notify those messages for which user set a priority.
• Machine learning algorithm is implemented on the backend of our application that will filter the important contacts.
• The app will show the emergency message of the recipient which are not in the driver’ s priority list through this algorithm.
• Driver can select the desired app from the app option menu for which he wants to get notifications.
• In case of emergency, the emergency contact information will be displayed on lock screen for the purpose to inform the victim relative or friend.

Project Implementation Method

Text to speech conversion system is excellent and superlative if you want to hear a document or content of text messages while driving to prevent different kinds of road accidents. There are different techniques and methods to develop such systems. Neural network is considering best to implement and introduce such systems. A neural network named “Wave Net” is implemented to generate audio waveforms. A system named, Marlin uses different types of neural networks and compare the output of all these networks and then considered that system that generate real-time speech pattern. Different synthesis techniques are used to for the conversion of text into speech. These are Concatenative synthesis, articulatory synthesis, formant synthesis, domain specific synthesis, unit selection synthesis, diphone synthesis, HMM based synthesis, sinusoidal synthesis and corpus-based speech synthesis. 

Sometimes, the important message could arise from the person which is not in the priority list. For this purpose, the message should be analyzed using sentimental analyses or opining mining. A two-step procedure is use for the extraction from a big data. The first step is data management and the second is analytics.

Benefits of the Project

•It is  a low cost because you don’t need to buy expensive hardware or to pay for the software.

•This app is to provide safe driving and reduce the road accidents.

•It saves the human life.

•People learn traffic rules  to enhance the knowledge.

Technical Details of Final Deliverable

Scientific areas/ Applications covered:

• Android Application
• Database-SQLite

Emerging technologies used:

• Machine Learning Algorithm
• Text-To-Speech Conversion
• Natural Language Processing.

Correlation with industrial Practices and Trends:

• Motor Vehicles (Motorcycles, Cars and Buses)

Final Deliverable of the Project

Software System

Core Industry

Transportation

Other Industries

Telecommunication

Core Technology

Artificial Intelligence(AI)

Other Technologies

Sustainable Development Goals

Good Health and Well-Being for People

Required Resources

If you need this project, please contact me on contact@adikhanofficial.com