The currently available rating systems of the drivers driving behavior are full of malicious ratings as they are manual, thus having it automatically generated will help reduce such a matter. Also, abnormal driving behaviors count as one of the main reasons behind car accidents but are not always considered in the manual rating system. We aim to ameliorate the accuracy rates of the detection of a driving abnormal behavior and road conditions in the real time; and accordingly correctly and accurately classify them into the category each falls into. Our target is to replace the malicious rating data by more trustworthy rates generated using technologies rather than human entries. The business owners and the consumers will be given the privilege to track the locations of the drivers.

 

Documentations: 

To view the proposal document: Proposal-Amelirater

To view the SRS (Software Requirements Specification) document: SRS-Ameliorater

To view the SDD (Software Design Document): SDD-Ameliorater

To view the Final Thesis document: Thesis-Ameliorater

 

Presentations:

 To view the proposal presentation: Proposal-AmelioraterPPT

To view the SRS(Software Requirements Specification) presentation: SRS-AmelioraterPPT

To view the SDD(Software Design Document) presentation: SDD-AmelioraterPPT

To view the Final Thesis presentation: pptx: Ameliorater-Thesis  pdf: Ameliorater-Thesis

Flyer:

1.Front

2.Back

 

 

Videos: 

1. Proposal.

2. Final Demo:

Please visit this link to view the Amelio-rater’s final demo video: https://youtu.be/91Pq5UQpcnc