Delhi Students Develop Safety App for Women at Hackathon

By Techpads | Last Updated: October 18, 2017- 6:01 pm
Delhi Students Develop Safety App for Women

The Delhi-based student group, from Jaypee Institute of Information Technology, called the mobile app “Panchhi”, meaning bird.


A group of students developed an Android app for women’s safety at the two-day “hackathon” organized by Bharati Vidyapeeth’s College of Engineering (BVCOE) in New Delhi.

Flying High Without Fear

The Delhi-based student group, from Jaypee Institute of Information Technology, called the mobile app “Panchhi”, meaning bird. The app sends a distress call when you shake or drop the cellphone.

All one needs to do is to install the app and enter an emergency contact number, which will receive the distress call when the phone is shaken or dropped.

Smart Ideas for a Wider Social Impact

Organized by BVCOE, the hackathon had as many as 200 teams competing to prove their creative prowess as well as their competence in development, graphic design, UI and project management.

The selection community shortlisted only 25 of the 200 teams for participating in the event, conducted between October 10 and 11.

The event was called “Smart Habitat” this year and asked teams to offer solutions for the most widespread social problems. The event saw the teams working on their ideas for more than 24 straight hours.

The safety app for women is not yet available for downloading and will need more features before it is made available for use.

Hackathons: Inspiring Innovation

Hackathon, a mix of the words “hack” and “marathon”, is still a new concept in India, but is gaining popularity and beginning to play a vital role in encouraging new product ideas and innovation.

Such events are being conducted by private sector companies as well as different government departments and ministries across the country. Earlier this year, such initiatives have seen students developing solutions to address diverse problems, ranging from an online system to collect road toll to an IoT-based system for reducing train accidents at unmanned level crossings.