Cognitive Claim Assistant (CCA)
Computer Vision based vehicle image analysis to automatically produce a detailed damage cost estimate in real time
Computer Vision based vehicle image analysis to automatically produce a detailed damage cost estimate in real time
Computer Vision based vehicle image analysis to automatically produce a detailed damage cost estimate in real time
Industries
Auto claims and auto finance
Platform/Device
Sketch, Invision, Figma, Zeplin, Azure, Miro, Zoom
Timeline
9 months from Kick-off -> Requirement -> MVP -> Product Release v1.0
Team
Partner, Product Manager, Product Owner, Scrum Master, UX Designers, Engineering Team, QA Team, Data Labeling Team and Release Team
My Role
Partner, Product Manager, Product Owner, Scrum Master, UX Designers, Engineering Team, QA Team, Data Labeling Team and Release Team
Damage assessment in vehicles is an important step for insurance claims and auto finance industry. Currently, these processes involve manual interventions requiring a long turnaround time. Cognitive Claims Assistant (CCA) is designed to provide significant cost and time reductions in the process while accurately estimating the cost of repairs. It can take damaged car images and the corresponding metadata (FNOL, car history, car model, etc.) as input, and passes this data to the ensemble of deep learning models with some custom-designed algorithms to provide useful inferences like the location of damages in the car, type of damages in the car, damaged parts, etc.
Damage assessment in vehicles is an important step for insurance claims and auto finance industry. Currently, these processes involve manual interventions requiring a long turnaround time. Cognitive Claims Assistant (CCA) is designed to provide significant cost and time reductions in the process while accurately estimating the cost of repairs. It can take damaged car images and the corresponding metadata (FNOL, car history, car model, etc.) as input, and passes this data to the ensemble of deep learning models with some custom-designed algorithms to provide useful inferences like the location of damages in the car, type of damages in the car, damaged parts, etc.
Damage assessment in vehicles is an important step for insurance claims and auto finance industry. Currently, these processes involve manual interventions requiring a long turnaround time. Cognitive Claims Assistant (CCA) is designed to provide significant cost and time reductions in the process while accurately estimating the cost of repairs. It can take damaged car images and the corresponding metadata (FNOL, car history, car model, etc.) as input, and passes this data to the ensemble of deep learning models with some custom-designed algorithms to provide useful inferences like the location of damages in the car, type of damages in the car, damaged parts, etc.
Industries
Auto claims and auto finance
Platform/Device
Sketch, Invision, Figma, Zeplin, Azure, Miro, Zoom
Timeline
9 months from Kick-off -> Requirement -> MVP -> Product Release v1.0
Team
Partner, Product Manager, Product Owner, Scrum Master, UX Designers, Engineering Team, QA Team, Data Labeling Team and Release Team
Damage assessment in vehicles is an important step for insurance claims and auto finance industry. Currently, these processes involve manual interventions requiring a long turnaround time. Cognitive Claims Assistant (CCA) is designed to provide significant cost and time reductions in the process while accurately estimating the cost of repairs. It can take damaged car images and the corresponding metadata (FNOL, car history, car model, etc.) as input, and passes this data to the ensemble of deep learning models with some custom-designed algorithms to provide useful inferences like the location of damages in the car, type of damages in the car, damaged parts, etc.
Damage assessment in vehicles is an important step for insurance claims and auto finance industry. Currently, these processes involve manual interventions requiring a long turnaround time. Cognitive Claims Assistant (CCA) is designed to provide significant cost and time reductions in the process while accurately estimating the cost of repairs. It can take damaged car images and the corresponding metadata (FNOL, car history, car model, etc.) as input, and passes this data to the ensemble of deep learning models with some custom-designed algorithms to provide useful inferences like the location of damages in the car, type of damages in the car, damaged parts, etc.
Damage assessment in vehicles is an important step for insurance claims and auto finance industry. Currently, these processes involve manual interventions requiring a long turnaround time. Cognitive Claims Assistant (CCA) is designed to provide significant cost and time reductions in the process while accurately estimating the cost of repairs. It can take damaged car images and the corresponding metadata (FNOL, car history, car model, etc.) as input, and passes this data to the ensemble of deep learning models with some custom-designed algorithms to provide useful inferences like the location of damages in the car, type of damages in the car, damaged parts, etc.
Industries
Auto claims and auto finance
Platform/Device
Sketch, Invision, Figma, Zeplin, Azure, Miro, Zoom
Timeline
9 months from Kick-off -> Requirement -> MVP -> Product Release v1.0
Team
Partner, Product Manager, Product Owner, Scrum Master, UX Designers, Engineering Team, QA Team, Data Labeling Team and Release Team
Through extensive user research, we discovered that many e-bike users felt overwhelmed by the technology and controls on their bikes. To address this, we created a simple and intuitive interface that allows riders to easily adjust their level of assist and monitor their battery life. We also incorporated GPS navigation, allowing riders to plan their route and track their progress.
Key Differentiation Factor: It can carry accurate, on-the-fly damage assessment for auto claims and auto finance industry. It also ensures redundancy removal across multiple images for accurate estimation, provides localised information about the damage, provides cost estimation and more.
© arunprakash - 2023 | Created in Framer by "Self Learning" | #Smilemore #BeHappy #Respect
© arunprakash - 2023 | Created in Framer by "Self Learning" | #Smilemore #BeHappy #Respect
© arunprakash - 2023 | Created in Framer by "Self Learning" | #Smilemore #BeHappy #Respect