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Crowdbotics: Standardizing and Optimizing USAF Pilot Training With Machine Learning and Deep Maneuver Analytics

Award Information
Agency: Department of Defense
Branch: Air Force
Contract: FA8649-21-P-0887
Agency Tracking Number: F2D-1877
Amount: $749,601.00
Phase: Phase II
Program: SBIR
Solicitation Topic Code: AF203-DCSO1
Solicitation Number: X20.3
Timeline
Solicitation Year: 2020
Award Year: 2021
Award Start Date (Proposal Award Date): 2021-03-23
Award End Date (Contract End Date): 2022-06-23
Small Business Information
2120 University ave
Berkeley, CA 94704-1111
United States
DUNS: 080469320
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Anand Kulkarni
 (510) 730-1729
 anand@crowdbotics.com
Business Contact
 Julian Capps
Phone: (512) 810-8277
Email: julian@crowdbotics.com
Research Institution
N/A
Abstract

Fighter pilot combat readiness is one of the most important problems facing the USAF today. Current readiness assessment methods at the formal training unit rely heavily on senior personnel providing subjective individual feedback on flight maneuvers. How

* Information listed above is at the time of submission. *

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