The document proposes a mobile app to prevent date abuse on college campuses. It will use education, pattern recognition of threats, and alerts to intervene before abuse occurs. A team of experts will build the app and partner with universities. It will provide counseling, bystander support networks, and threat prediction tools. Revenue will come from school setup fees and counseling referrals with the goal of being cash flow positive within two years and generating $5.5 million in revenue after five years with 10% market penetration.

1. Prevention not recovery
Protect. Predict. Prevent

2. Problem Statement
• 7 million victims of college
date abuse
• 70% are unaware of it when it
happens
• Most want to intervene but
don’t know how
Protect. Predict. Prevent
Protect. Predict. Prevent

3. Value Proposition
External
Resources
Trusted
Threat Victim
Friends
Bystander
Network
Threat Prediction Support Network Notification
Protect. Predict. Prevent
Protect. Predict. Prevent

4. Solution & Core Value Proposition
mobile app that keeps the
campuses safe:
Date abuse education
& intervention
Date abuse pattern
recognition
Alerts for prevention
Protect. Predict. Prevent
Protect. Predict. Prevent

5. Who are we
• Bithika Khargharia, PhD
• Dr KaRae Carey, PhD
• Moataz Mousa, Ace Marketeer
• Krupal Annugu, Rockstar
Developer
• Josh Brown, Strategic Planning
Protect. Predict. Prevent
Protect. Predict. Prevent

6. Our Collaborators
Our Advisors (DHHS)
• Dr Audie Autienza, Senior Health Technology Advisor, HHS.
• Mr Arnaub Chatterjee, Special Assistant to the CTO, HHS.
• Dr Greg Downing, Senior Advisor, HHS.
• Dr Abdul Shaikh, Behavioral Scientist, NIH.
Protect. Predict. Prevent
Protect. Predict. Prevent

7. Product demo
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Protect. Predict. Prevent

8. Competition
On watch Circle of 6
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9. Business model
Market Potential Revenue streams
18M Univ students $55M Rev Counselor
School setups
Ref.
School reports
Cash flow positive in Yr 2 with 1% market penetration
By Yr 5 with 10%
penetration, the revenue is
5.5M
Protect. Predict. Prevent
Protect. Predict. Prevent

10. Implementation plan
2012-Q2 Q3 2012-Q4 2013-Q1 Q2
Educational
- Link to sex Ed.
at Univ.
Detection &
data analysis
- Collect data
- Model development
Counseling & info.
-Panic button
-Post event reporting
Protect. Predict. Prevent
Protect. Predict. Prevent

11. Why you should vote for
• $$
• We make a difference
• We keep your loved
ones safe
Protect. Predict. Prevent
Protect. Predict. Prevent