"We cannot solve our problems with the same thinking we used when we created them." ~ Albert Einstein

If you are one among those with a zeal for exploring new avenues and bringing ideas to life, this edition of our annual hackathon, presented by Exotel, is the place to be. Pragyan Hackathon 2020 can well be your ticket to revolutionize humanity!

Pragyan Hackathon 2020, presented by Exotel, in a bid to help developers and entrepreneurs shape their ideas and bring them to fruition. With a wide range of exciting domains to work on and over 30 hours to code for, this is your platform to convert your ideas into innovative solutions.

This year, in its 6th edition, the Pragyan Hackathon welcomes innovative solutions in three critical and extensive domains - Automotive Sector, Sustainable Environment & Climate Change and Security and Surveillance/Women Safety. Show the world what you have got. C’mon out… The future awaits.

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Prizes

    Do you have an idea that you think could propel everyone into the future? Are you waiting for the chance to implement it and cause radical changes in the way we live? With the Pragyan Hackathon, you are at the right place.
  • Goodies, certificates, awards, and cash prizes on offer!
  • Exciting internship and project incubation opportunities under pioneers of the field.
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Location

Exotel, Bangalore

Dates - 21st and 22nd December

Reporting Time - 8 AM, 21st December 2019

Duration - 30 Hours

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Registration fee

Registration Fee: INR 500

Free participation for all-women team

  • Participants are expected to register and pay individually, irrespective of participation as a team or an individual.
  • Upon completion of registration, each participant shall receive a Participant ID and payment link by email.
  • Upon completion of the payment process, a confirmation email to complete the registration process will be sent to the participant.
  • Once all members of a team have registered and paid, they may inform the organisers about the team on the day of the Hackathon.
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Rules and Regulations

  • The number of members per team can be from a minimum of 1 to a maximum of 3.
  • The hackathon is open to all the college students.
  • Requirements: Valid ID Proof, laptops, chargers and other hardware equipment required to complete your hack.
  • The criteria for judging are as follows: Originality of the idea, design, functionality and implementation of the idea in a real-time scenario. Judging is based on the software only (web/mobile app and software hack) and any hardware presented to complement the software will not add to the participant's score.
  • Deadline for registration and payments: 11.59 PM, 20th December 2019.
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Domains

Automotive Sector

A) Assisted driving solutions

Visualization using Car’s Camera of traffic objects. Identification of traffic objects like, Vehicle, Pedestrians, road signs , etc…etc...

B) Intuitive UI design for Android Infotainment systems

Develop a prototype demonstrating screen designs with seamless interactions and transition logic for a set of selected automotive usecases of your interest. Focus on selecting the best tools/language/framework libraries’ for android App development assist the driver in interacting with multiple active application views. Explore the options to achieve efficient graphics performance and responsiveness making use of GPU /hardware accelerators while demonstrating capabilities for Video playback / Video processing from camera inputs or while creating screen transition animation effects.


C) Smart Tourist Mobility (connecting driving in cities and countryside with tourism)

In this scenarios , the IoT enables services and application deployed in a tourist spot such as : roadside smart machines, police control rooms, emergency help, tourist guides, volunteers, parking lots information , crowd density are collected and augmented on the locality maps as “smart tourist maps”. These services are made available to the Infotainment system, which can guide the driver in providing the access to these services.

Conceptualize the backend infrastructure that help to collect and generate PoI (like On Road volunteer, police assist, tourists ,parking lots etc…) from sensor data collected using various IoT devices to augment locality maps with the information to create a custom “Smart Map showing realtime information” from Google Maps or using other open source map data base. Based on this conceptualize a tourist guide app for the Infotainment unit ( Android – JAVA/HTML5) to access this information in SmartMaps and provide various information to driver to avail required services.

Climate Change

Creating state-of-the-art devices to improve distribution, management and purification of water.

A) Change detection and extraction of information and features of interest in RS images using time series information:

Deep Learning based algorithms for identifying the changes in selected time series data and extracting features of interest changed over time will be a very good value addition for water resources, urban dynamics, infrastructure monitoring and disaster management. This is possible only by identification or detection of features on the fly from RS images, which are more amenable for noise from different implicit processes in atmosphere and data processing algorithms. Given time series tiles of Images / RS image ( 2 dates ) the system should
a) Identify changes and highlight areas of change.
b) Extract features that are evident from image 2 and not in image1, categorise in known lists i.e. water, roads, buildings, parks, trees
c) Find features that are missing in image2 w.r.t. image 1.
Dataset: reference dataset can be obtained from realtime satellite sensor data Link

B) Detecting air pollution hot spots and identifying the source trajectories using ML/AI techniques:

At present, air pollution is a global problem. India is also a big sufferer of this problem. India signed COP21 agreement for cutting the carbon emissions from 2025. Challenges involved in the current statement is mining the datasets from different satellites parameters and providing the final output with moderate spatial resolution on pollution information. Hence information will be useful for change detection analysis. Identification of source pathways. Participants must develop AI/ML based software/algorithm to identify/analyse
1. Location of hot spots.
2. Long-term occurrence of hot spots and changes.
Dataset Links: Satellite based data (freely available)
MOPITT
Aura/OMI

C) Paperless Office:

Making the official activities to go paperless - like sending official communications through e-media, automating procedures for protecting the environment. Design a customizable workflow management system to handle submission of documents and approval workflow with facility to sign the document with approval seal. This system should have ability to intimate the concerned party by email and also be manageable by email.

D) Geo Tracking of Waste and Triggering Alerts and Mapping Areas with High Waste Index:

We do have waste lying in cities which makes it hard for cleaning staff to know which area requires attention and urgent garbage, waste pickup. Identifying Waste across in the City. Cameras attached to Govt or Public Vehicles while driving can capture video and identify garbage areas and upload images (image /video scanning ). Ability to capture images of garbage and upload, images will automatically have GEO location position of the image. Viewing the high waste areas. Mapping the location on a map with the Waste Quantity Index (approximate) so that the waste management team, can quickly take action based on the wastage level thrown in an area. Lateral Scenarios, Scaling the solution and Flood Monitoring and reporting.

Women Safety

Creating state-of-the-art safety and security technologies for India

A) Face, expression and gesture recognition based compilation in database of criminal records:

Design a system to capture face, expression and gesture of targeted persons (Criminals) through distributed CCTV System and maintaining it in a database along with time and location stamp. The database so compiled to be used to identify suspects from video clips of crime related CCTV footages captured series of CCTV Systems located on routes and close to scene of crime.

B) AI powered women safety application:

Women safety apps powered with AI and Machine Learning capabilities will collect data and patterns over a period of time and will, later on, provide other users with pre-generated reports – when they take a particular route to their destination. For example – When a user (women) is using an AI-powered safety app, she will want to know the best and safest possible route to their destination. Let’s say; there are 5 different routes that can be used to reach the destination. The app will evaluate all of the routes based on previously collected data. The evaluation of all of the possible routes will be based on various criteria. These criteria could be security in the area, an average number of people during the particular time of the day, previous women harassment cases in the area and so on. In general, the app will interact with several areas leading to the destination and will generate a report based on that interaction and criteria, for the user to see and make which route is the safest of all.

C) AI/ML model that recognises the tone and perform counter action:

A safety application that listens when the app is on. If it hears keywords like ‘bachao’ or ‘help’, it should use a machine learning or artificial intelligence model to judge the tone or emotional state of the statement and automatically trigger some actions like sending texts to nearby police station, she teams etc with geo co-ordinates and start live navigation with them. The model should be able to differentiate a cry for real help from a casual conversation like “could you help me with math test?”. Native language keywords can also be included.

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Testimonials

"This was our first Hackathon and we came into it quite unsure of what we would make, wanting to win nonetheless. However we didn't ever imagining the actual prize.

It was really nice to see so many people participating and that really encouraged us to give this a good chance. The great coffee managed to keep us awake for most of the 30 hours of the Hackathon. In this 30 hours we were able to learn so much and implement what we started out to day. The good food and comfortable environment definitely helped us stay positive. The availability of WiFi could have been better as it wasn't present for a little while at night. Nonetheless it was very fast when it was there which helped. It was really nice to see that one of the mentors, Mr.Ankur was there to guide us throughout the night. The goodies definitely got everybody excited! It was an amazing experience all in all, one we will remember and cherish deeply. Thanks to Pragyan for organising such an event and helping us get this type of an experience."

Tanvi Kumar
First Place
Pragyan Hackathon 2017

"The experience was nothing short of brilliant! We had interesting problem statements to work on over the course of two days! The goodies, awards and a collaboration with a sponsoring company were awesome! Will definitely revisit the upcoming editions! We learned that if you have a crazy and promising idea, Pragyan's Hackathon is the place to start work on it!"

Trivikram Muralidharan
Second Place
Pragyan Hackathon 2017

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Contacts

Ramprasath
+91 97909 04945
ram@pragyan.org
Dinesh
+91 77087 97368
publicityhead@pragyan.org
Sudharsan
+91 99418 57577
sudharsan@pragyan.org