F_SOCIETY - FACEKART

[Theindianidle]

Smarter Ad predictions using face detection and analysis through Machine Learning:
F_SOCIETY - FACEKART

ℹ️ Project information

Please complete all applicable.

• FaceKart: Project Name
• Smarter Ad predictions using face detection and analysis through Machine Learning: One line crisp description of our project
• F_Society: Team Name
• Kushagra Sharma: github.com/theindianidle ,
  Jatin Kushwah : github.com/jatinkushwah07 ,
  Raj Jhunjhunhwala: github.com/rajjjw ,
  Pawan Sen: github.com/pawan-sen: Members' Names & their GitHub handles
• L19: The room we're sitting in
• https://drive.google.com/open?id=1L6IFZdTGvkvu7_meWDRHaHbjbV6wejcV: (this contains a short demo video.)
• https://drive.google.com/open?id=1mtOG8l9qgMN-NWIYTqFMN307Izp6Bb0w: The link to our code. All judges can access it.
• Prize Categories Enrolled for:
  (Please tick any specific Category that applies)
  • Best use of Microsoft Azure
  • Best Beginner (Your team should be atleast 50% Beginners)
  • Best "Jugaad" - Best Fun/ Silly/ Innovative Hack
  • Best UIPath Hack

🔥 Our Pitch

_
Since the first line of its written code, FaceKart was meant to be made for the use of one and all. We're proud to state that our app provides accurate results for age groups ranging from >1 years to <70 years.
Thus, FaceKart expands its seas to a global market which comprises of nobody,except everybody.
The low burn rate and high scope of growth make FaceKart a major sell in the market.

_

🔦 Some specific things we want to highlight?

1. This is the first hackathon for all the four of us.
2. While we used the module for the more commercial side of the industry, the module can be further extended to social causes- identifying lost people(esp. children) and criminals - It's a healthy alternative to any technology that involves facial recognition- FaceKart increases the search speed by around 9 folds, by sorting through the database itself, before applying facial recognition tech.
3. One more thing we'd like to highlight is the absolute protection of end-user's privacy.

✅ Checklist

Before we post the issue:

• We have followed the issue title format.
• We have mentioned the correct labels.
• We have provided all the information correctly.