Incog.ly

Have you ever been in a situation where you nailed every aspect of the conversation but still couldn't crack the deal. Maybe because the other person had a bias against you :eyes:

We created Incog.ly to help everyone remove that component of uncertainity in our new routines.

Incog.ly is a peer to peer video conferencing app which keeps your identity anonymous. With the feel by avatarifying the remote side into a character with the power of emotions and expressions.

Features

  1. Peer to Peer Connection
  2. Face and Emotion detection to simulate real conversations.
  3. Face and Audio masking for complete anonymity
  4. Clean and sleek UI <3
  5. Actively under development

Submission Categories

Community Building

Some people are hesitant to open up with new people and the conventional ice breakers are not efficient in most cases. This tool can help shy people to have a comfortable environment during the initial conversations.

Getting Help

Humans by nature are reluctant to seek help. By creating a middleware of anonymity, we allow the users to seek help freely.

Remote Work

This tool will evidently make the process of pair programming and remote interviews much more unbiased and provide equal opportunities to everyone.

Why Incog.ly?

Incog.ly is a video platform where candidate's and interviewee's face and voice are masked during the interview. This allows the interviewers to understand the candidate's experience and abilities while eliminating their identity from the evaluation process.

Requirements

Some developer skills. ;) Have an eye for the best project 👀

Demo Video

https://www.youtube.com/watch?v=FEynXP0js2Q&feature=youtu.be

Installation

  • git clone https://github.com/stealthanthrax/half-mile-hackathon.git
  • cd half-mile-hackathon
  • npm install && node server.js

Try it here

https://incogly.ml/

Contributing

Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.

Please make sure to update tests as appropriate.

License

MIT

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