Hack Challenge 2021

All Engineering/MCA Students in India (UG or PG Any Discipline)
The participant must produce a valid identity proof to confirm his current status as a Student.
Sponsor reserves the right to verify eligibility and to adjudicate on any dispute at any time.
Every registered participant of Hack Challenge 2021 must create an IBM Academic Initiative Account.

All Engineering/MCA Students in India (UG or PG Any Discipline)
The participant must produce a valid identity proof to confirm his current status as a Student.
Sponsor reserves the right to verify eligibility and to adjudicate on any dispute at any time.
Every registered participant of Hack Challenge 2021 must create an IBM Academic Initiative Account.

The team lead shall submit an idea in the following format on the Platform. Ensure that all the team members are registered with SmartInternz Platforms before submitting the idea.
After logging into the account, Select the problem statement & Fill up the form online with following details.
General description :
General description of proposed solution in few lines.
Novelty / Uniqueness :
What is the uniqueness/novelty added by you to the defined problem statement?
Business / Social Impact :
How is the proposed solution impacting the business? How is the business processes simplified or bringing value over the existing process?
Technology Stack :
Architectural flow of the proposed solution, with the mention of technologies to be used in developing the solution.
Scope of Work :
Define the scope of work to be implemented in the project with modules etc.

We will check for the unique value proposition defined (if any), scope of work defined and completed, programming logic, code layout including scalability, consistency & naming convention, exception handling in the code, emphasis on the UI/UX design/framework implementation.
Once the evaluations are completed, the shortlisted teams will receive a confirmation email and the team names will be announced here.

You must submit all the files related to your solution in Git Repo provided in SmartInternz workspace
You must write a project report in Project Doc option provided in SmartInternz workspace and submit the pdf copy in Git Repo.
You must record a video demonstration on the solution you have build
You must provided the screenshots of the outputs.

Note : Team names are displayed as per the Alphabetical order there is no ranking

TEAM NAME	NAME	COLLEGE/UNIVERSITY
Agrify	Keyur Chaniyara	LDRP Institute of Technology and Research
	Janvi Prajapati	LDRP Institute of Technology and Research
	Namrata Baldaniya	LDRP Institute of Technology and Research
	Nisha Kathiriya	LDRP Institute of Technology and Research
AgriOracle	Pavan Pandya	LDRP Institute of Technology and Research
	Rutvik Kachhadiya	kadi sarva vishwavidyalaya
	Teerth Sankesara	kadi sarva vishwavidyalaya
	Nisarg Shah	kadi sarva vishwavidyalaya
AI Challengers	Sinegalatha B	M. Kumarasamy College of Engineering
	Saarumathi Ravi	M. Kumarasamy College of Engineering
	Padmaja S	M. Kumarasamy College of Engineering
	Manju S	M. Kumarasamy College of Engineering
Analyzers	Rishi Kakkar	Vellore Institute of Technology
Analyzers	CHIDURALA AVINASH	marri laxman reddy institute of technology and science
ANNG	Kaustav Chaudhury	Heritage Institute of Technology
Challengers	Nikhil Gupta	Christ University
	Tanya Chabbra	Bhagat Phool Singh Mahila Vishwavidyalaya
	Abhay Kumar Gupta	The LNM Institute of Information Technology
	Manvitha Chowdary Ramineni	Vel Tech Rangarajan Dr.Sagunthala R&D Institute of Science and Technology
Code Warrior	M V Namitha	Vellore Institute of Technology
Code-Kids	Ashish Sureka	Thiagarajar College Of Engineering
	Debidutta Dash	Silicon Institute of Technology
	Deekshya Dash	Silicon Institute of Technology
	Sanjam Kumar Panda	Silicon Institute of Technology
Couch Potatoes	Sravani Sai M	Bharati Vidyapeeth's College of Engineering
	Akhil Jayan	Bharati Vidyapeeth's College of Engineering
	Tanisha Bharol	Bharati Vidyapeeth's College of Engineering
	Shashwat Pandey	Bharati Vidyapeeth's College of Engineering
CUSAT	Alexy P Thomas	Cochin University College of Engineering Kuttanad
CUSAT	ANAS DVOOD TK	Cochin University College of Engineering Kuttanad
Deep Challengers	Andrew Jose	Vivekanand Education Society's Institute Of Technology
	Vrushank Dhande	Vivekanand Education Society's Institute Of Technology
	Sneha Jadhav	Vivekanand Education Society's Institute Of Technology
	Manasi Nerurkar	Vivekanand Education Society's Institute Of Technology
Electric Guest	Rohit D	SSN College of Engineering
Guerreros Técnicos	Narendra Omprakash	Vellore Institute of Technology
	Vaishnavi, V.V	Vellore Institute of Technology
	Aravinda B	Vellore Institute of Technology
	Shalini Annadurai	Vellore Institute of Technology
hack.py	Sarthak Tyagi	Vellore Institute of Technology
	Karmabir Chakraborty	Vellore Institute of Technology
	Samank Gupta	Vellore Institute of Technology
	Kanav Mittal	Vellore Institute of Technology
MIND OPTIMIZERS	PriyaDarshini M	Sri Sairam Engineering College
	Priyadharshini S	Sri Sairam Engineering College
	KEERTHANA S	Sri Sairam Engineering College
	Karthiga G	Sri Sairam Engineering College
Modern Farming	VENKAT NAIDU RAMA	Gandhi Institute of Technology and Management
Python Eyes	Amogh Singh	Vellore Institute of Technology
	Harisha S	Vellore Institute of Technology
	Madhan Kumar S	Vellore Institute of Technology
Return Zero	Charann A	Rajalakshmi Engineering College
	Ashwin Prasad	Rajalakshmi Engineering College
	Surendhar R	Rajalakshmi Engineering College
	Raja Arvindan	Rajalakshmi Engineering College
Sateek	Somya Agarwal	Institute Of Engineering and Technology, Lucknow
Sateek	Prateek Singh	Institute Of Engineering and Technology, Lucknow
SDD	MEDARAMITTLA PRAKASH	SRM University
SDD	Prateek Singh	SRM University
Skand Gupta	Skand Gupta	Swami Keshvanand Institute of Technology, Management & Gramothan
Software Chasers	Mohd Abdul Rahman	Jayaprakash Narayan College of Engineering
Software Chasers	MOHD ABDUL HAQ	Jayaprakash Narayan College of Engineering
Squad Bugs	Sushanth Arunachalam	RAJALAKSHMI INSTITUTE OF TECHNOLOGY
	Sagaya Sree	RAJALAKSHMI INSTITUTE OF TECHNOLOGY
	N. Kallish Kumar	RAJALAKSHMI INSTITUTE OF TECHNOLOGY
	Rishii K. P	RAJALAKSHMI INSTITUTE OF TECHNOLOGY
strikers	Darshan Bhavsar	LDRP Institute of Technology and Research
	SHREYAS JAIN	LDRP Institute of Technology and Research
	Yatree Ladani	LDRP Institute of Technology and Research
	Prachi Jethava	LDRP Institute of Technology and Research
Team FashionEra	Ramanand Mohare	N. K. Orchid College Of Engineering & Technology, Solapur
	Pranoti Pawar	N. K. Orchid College Of Engineering & Technology, Solapur
	Rohit Shriram	N. K. Orchid College Of Engineering & Technology, Solapur
	Shruti Potraj	N. K. Orchid College Of Engineering & Technology, Solapur
Team Gravitas	Neel Sonawane	College of Engineering Pune
Team Gravitas	Prajakta Patil	College of Engineering Pune
TEAM VENOM	Onkar Charkupalli	Nagesh Karajagi Orchid College of Engineering & Technology
	Abhishek Dandi	Nagesh Karajagi Orchid College of Engineering & Technology
	Rohan Konkatti	Nagesh Karajagi Orchid College of Engineering & Technology
Tech Warriors	Vikash Kumar	JAIN UNIVERSITY - FET
	Ashish Kumar	Maharaja Agrasen Institute of Technology
	Abhishek Lohani	JAIN COLLEGE OF ENGINEERING AND TECHNOLOGY
Techno Titans	Sneha M	Saveetha Engineering College
	SIVAPRIYAA S M	Saveetha Engineering College
	Sai Sravani	Saveetha Engineering College
	ABINAYAA A	Saveetha Engineering College
Techwiz	Riyanka Rajakumar	SSN College of Engineering
	Shweatha J	SSN College of Engineering
	Sandhya B	SSN College of Engineering

TEAM NAME	NAME	COLLEGE/UNIVERSITY
Couch Potatoes	Sravani Sai M	Bharati Vidyapeeth's College of Engineering
	Akhil Jayan	Bharati Vidyapeeth's College of Engineering
	Tanisha Bharol	Bharati Vidyapeeth's College of Engineering
	Shashwat Pandey	Bharati Vidyapeeth's College of Engineering
CUSAT	Alexy P Thomas	Cochin University College of Engineering Kuttanad
CUSAT	ANAS DVOOD TK	Cochin University College of Engineering Kuttanad
AgriOracle	Pavan Pandya	LDRP Institute of Technology and Research
	Rutvik Kachhadiya	kadi sarva vishwavidyalaya
	Teerth Sankesara	kadi sarva vishwavidyalaya
	Nisarg Shah	kadi sarva vishwavidyalaya
Code-Kids	Ashish Sureka	Silicon Institute of Technology
	Debidutta Dash	Silicon Institute of Technology
	Deekshya Dash	Silicon Institute of Technology
	Sanjam Kumar Panda	Silicon Institute of Technology

TEAM NAME	TEAM MEMBERS	COLLEGE/UNIVERSITY
Guerreros Técnicos	Narendra Omprakash	Vellore Institute of Technology
	Vaishnavi, V.V	Vellore Institute of Technology
	Aravinda B	Vellore Institute of Technology
	Shalini Annadurai	Vellore Institute of Technology
ANNG	Kaustav Chaudhury	Heritage Institute of Technology
Techno Titans	Sneha M	Saveetha Engineering College
	Sivapriyaa S M	Saveetha Engineering College
	Sai Sravani	Saveetha Engineering College
	Abinayaa A	Saveetha Engineering College
TEAM VENOM	Onkar Charkupalli	Nagesh Karajagi Orchid College of Engineering & Technology
	Abhishek Dandi	Nagesh Karajagi Orchid College of Engineering & Technology
	Rohan Konkatti	Nagesh Karajagi Orchid College of Engineering & Technology
Return Zero	Charann A	Rajalakshmi Engineering College
	Ashwin Prasad	Rajalakshmi Engineering College
	Surendhar R	Rajalakshmi Engineering College
	Raja Arvindan	Rajalakshmi Engineering College

Frequently Asked Questions

1. Who can participate in Hack Challenge? 2. How do you participate? 3. Is there a limit on the total team size? 4. Can a team work on more than one problem statement? 5. Will there be any guidance provided to understand the problem statement and technology? 6. Which of the above given problem statements is suitable for the Call for Code Global Challenge? 7. What is a valid submission? 8. Can I have a team member from different college?

9. How do I access IBM Cloud, Courseware, Digital badges and other related software for free? 10. When can we start submitting our entries? 11. What is the Call for Code Global Challenge? 12. Will there be any extension in the submission deadlines? 13. How can we submit the solution for the Call for Code Global Challenge? 14. What is the last date of Submission for Call for Code Global Challenge? 15. What benefits do I get on submitting the solution for the Call for Code Global Challenge?

Day	Topic
Day 1	Introduction to IBM Cloud & Watson AI Services
Day 2	Data Analytics & IBM Cognos Analytics
Day 3	Machine Learning with IBM SPSS Modeler
Day 4	Machine Learning with Python - IBM Watson Studio

Title	Optimized Warehouse Management of Perishable Goods for a Food Delivery Company
Description	A food delivery service has to deal with a lot of perishable raw materials which makes it all, the most important factor for such a company is to accurately forecast daily and weekly demand. Too much inventory in the warehouse means more risk of wastage, and not enough could lead to out-of-stocks - and push customers to seek solutions from your competitors. The replenishment of majority of raw materials is done on weekly basis and since the raw material is perishable, the procurement planning is of utmost importance,
Expected Solutions	Machine Learning Model to predict the demand of goods for the next 10 weeks or in the future Mobile / Web Application to Interact with ML Model deployed on IBM Cloud
Technologies & Tools	Python 2 or 3, IBM Watson Studio, IBM Cloud for Deployment, Android / any Web frameworks
Reference	1. https://www.altexsoft.com/blog/demand-forecasting-methods-using-machine-learning/ 2. https://www.kaggle.com/shashkhr25/food-demand-forecasting-challange/data

Title	Predicting the energy output of wind turbine based on weather condition
Description	Wind energy plays an increasing role in the supply of energy world-wide. The energy output of a wind farm is highly dependent on the wind conditions present at its site. If the output can be predicted more accurately, energy suppliers can coordinate the collaborative production of different energy sources more efficiently to avoid costly overproduction.
Expected Solutions	Develop a time series model to Predict the power output of wind farm based on the weather condition in the site (1Hr prediction to 72Hrs. prediction) Build an application to recommend the Power Grid to suggest the best time to utilize the energy from wind farm
Technologies & Tools	Python 2 or 3, IBM Watson Studio, IBM Cloud for Deployment, Android / any Web frameworks Use Weather Company Data from IBM Cloud
Reference	1.https://hpi.de/friedrich/docs/paper/RE1.pdf 2. https://www.kaggle.com/berkerisen/wind-turbine-scada-dataset

Title	AI-Assisted Farming for Crop Recommendation & Farm Yield Prediction Application
Description	Digital Farming and Precision Agriculture allow precise utilization of inputs like seed, water, pesticides, and fertilizers at the right time to the crop for maximizing productivity, quality and yields. Most of the farmers practice traditional farming patterns to decide crops to be cultivated in a field. Thus, the solution to this Challenge can be a crop recommendation system that helps farmers to decide the right crop to sow in their field and forecast the yield & revenue.
Expected Solutions	Building an application that recommends the farmers about the best crops to be cultivated based on climatic parameters and also predicts the yield and revenue that would be generated for cultivated land . Participants must make use of IBM services (Watson studio / Auto ai/ build machine learning model) and can use any SDK to create a web Interface. 1. Build Machine Learning model that predicts yield , revenue and also recommends crops using IBM capabilities 2. Integrate the model with UI(User interface) 3. Build Machine Learning model that predicts yield , revenue and also recommends crops using IBM capabilities
Technologies & Tools	IBM Watson Desktop, IBM Cloud, IBM Auto AI, IBM Watson Studio, Android / any Web frameworks.
Reference	1. https://github.com/https://www.kaggle.com/siddharthss/crop-recommendation-dataset 2. https://github.com/shreyzo/Crop-yield-and-profitability-prediction/blob/main/datafile.csv 3. https://dataplatform.cloud.ibm.com/docs/content/wsj/analyze-data/autoai-overview.html 4. https://www.youtube.com/watch?v=7e6Z99-5e_E&t=814s 5. https://www.youtube.com/watch?v=ST1ZYLmYw2U&t=3s 6. https://github.com/BigDataWUR/MLforCropYieldForecasting

Title	Super Predictor of Indian Premier League (IPL)
Description	Since the dawn of the IPL in 2008, it has attracted viewers all around the globe. High level of uncertainty and last moment nail biters has drawn the fans to watch the matches in large numbers. Within a short period, IPL has become the highest revenue generating league of cricket. With all this, the amount of data being generated in terms of matches revenue scores etc has also become huge. Analysing such vast amounts of data would give great insights in forecasting match results ,top scores and wicket takers etc.
Expected Solutions	The objective of this solution is to create dashboard that visualizes following capabilities and also forecast the future results 1. To find the team that won the most number of matches in the entire IPL. 2. To find the team that lost the most number of matches in the entire IPL. 3. Does winning a toss increase the chances of victory. 4. To find the player with the most player of the match awards. 5. To find the city that hosted the maximum number of IPL matches. 6. To find the most winning team for each season. 7. To find the on-field umpire with the maximum number of IPL matches. 8. To find the biggest victories in IPL while defending a total and while chasing a total. 9. Which team won the most matches while batting first. 10. Which team won the most matches while batting second. 11. List of teams which have won matches by most runs cumulatively
Technologies & Tools	IBM Cognos Analytics, IBM Cloud, IBM Watson Studio.
Reference	1. https://www.kaggle.com/nowke9/ipldata?select=matches.csv 2. https://www.ibm.com/docs/en/cognos-analytics/11.1.0?topic=stories-get-started-dashboards

Title	Analytics Tool For Ecommerce businesses
Description	With the increase in consumer demand , the E-commerce space has boomed. This also lead to an increase in fierce competition in today's online marketplace. The ecommerce industry sells a diverse product line of grocery items and merchandise products, such as food, pharmaceuticals, apparel, games and toys, hobby items, furniture and appliances. The analysis of such industry is of great importance as it gives insights for the sales and profits of various products.
Expected Solutions	The object of this challenge is to develop an Analytical Dashboard where the owner/user will understand the growth/potential of the business in the market. So he can find out statistics such as - 1. Region that accounts for greater number of orders. 2. Frequency distribution of quantity ordered. 3. Percentage sales by different product categories. 4. Profitable products or their sub products in last few years. 5. Products that incurred losses. 6. Product type that was ordered greater times. 7. Yearly sales for various states. 8. Forecasting future sales according to shipping date. 9. Trend in profit/sales over time (years/months/quarters). With this analysis, the e-commerce business can identify various aspects of the shopping pattern and take measures if required.
Technologies & Tools	IBM Cognos Analytics, IBM Cloud, IBM Watson Studio.
Reference	1. https://www.kaggle.com/juhi1994/superstore-analysis 2. https://www.ibm.com/docs/en/cognos-analytics/11.1.0?topic=stories-get-started-dashboards

Title	Clean Water & Sanitation
Description	To encourage optimal water choices by consumers and local governments and to incentivize water sustainability, we propose devising and implementing an API for water data collection and dissemination. With an API, you could have a centralized way to: 1. Query geolocations of sustainable water sources 2. Simplify coordination and funding for water construction projects 3. Explore educational tools to support water sustainability and clean water access 4. Enable transparent water usage, cleanliness results, and site-to-site comparison 5. Access plain language case studies and legislation. We are initially focusing on the development of a starter kit that will enable these channels to be developed to their fullest potential.
Expected Solutions	1. The user or community leader accesses a Clean Water Insights Dashboard. 2. The insights dashboard requests the Clean Water API for data that the user wants (including queries made on a chatbot). 3. The user can converse with a chatbot to get necessary information, and the insights dashboard can act as an orchestration application for the chatbot. 4. The Clean Water API component retrieves the required data from various sources and aggregates them as necessary. 5. A machine learning module uses the data sources as a corpus to build a recommendation model and host that model. 6. The Clean Water Insights Dashboard can get recommendation and prediction information from a recommendation engine.
Technologies & Tools	IBM Watson Desktop, IBM Cognos Analytics, IBM Cloud, IBM Watson Studio, Watson Machine Learning, Elyra, GeoJson Maps,Watson IoT, Node Red, IBM Watson Assistant.
Reference	1. https://developer.ibm.com/tutorials/build-a-water-quality-dashboard/ 2.https://developer.ibm.com/tutorials/building-integrations-with-app-connect/
Last Date of Submission	The last date of submission for Call for Code is 31st July 2021.

CODE FOR A BETTER FUTURE

Challenge Overview

Hack Challenge 2021 Invite

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Challenge Flow

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Register yourself to code, develop & innovate to serve for a better future.

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Code & Develop Solutions for a better future

How it Works?

1. Must be a current Engineering/MCA student.

2. Register for IBM Academic Initiative Account & Download the Software

3. Access to IBM Academic Initiative no-charge E-learning courses

4. Attend 4 days bootcamp

5. Start working on the enrolled problem statement

6. Submit the solution

Benefits of IBM Academic Initiative Account

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Software

Courseware

Key Technologies covered in depth

Live access

Digital Badges

Cloud Access

Software

Courseware

Key Technologies covered in depth

Live access

Digital Badges

Important Dates

17

JUN

Registrations Start

25

JUN

Commencement of Bootcamp 1

29

JUN

Project Submission Starts

10

JUL

Commencement of Bootcamp 3

01

JUL

Commencement of Bootcamp 2

01

JUL

Commencement of Bootcamp 2

10

JUL

Commencement of Bootcamp 3

30

JUL

Last Date of Registration

21

JUL

Commencement of Bootcamp 4

31

AUG

Project Submission Ends

Problem Statements

Technical Bootcamps

Bootcamp 1

Bootcamp 2

Bootcamp 3

Bootcamp 4

Mentoring Session

Supporting Organisations & Institutions

ibm cloud architecture

Cloud app development

Cloud databases

ibm watson assistant

watson visual recognition

IBM watson IoT Platform

CODE FOR A
BETTER FUTURE