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

Project Description

The agricultural crops corn, groundnut, and bengal gram are vital in the agricultural landscape for the state of Telangana. In this challenge provide a visualization and policy recommendations brief that:

You can pick one or more than 1 prompts on how can we:

1. Precision Farming for improving yield background: Farming is a multistage process in which majorly there are 3 growth stages. Across these stages, farmers use, depending on the natural state of climate variables, resources such as water, seeds, fertilizers, pesticides, and insecticides. The farm output is yield which is dependent on these underlying variables. Using these variables, predicting the historical yield through an ML model could give us statistical relationships between variables that affect the yield of a particular crop.
Selected Crops:
• Maize
• Groundnut
• Bengal Gram
Objectives:
1) Identify variable(s) in accordance with their relevant influence on crop yield
2) Recommend best practices to maximize the yield for a particular crop
3) Build a Machine-Learning model to predict yield.
4) Provide insights & policy recommendations based on the overall findings

2. Real-time price discovery & volume management at e-marketplaces Background: The Agricultural market cannot just be explained by the simple principle of supply and demand. Rather, it is an interplay of many variables that ideally should be used in the price-discovery of crops. Post-harvest, farmers generally rely on the local prices set at mandis/marketplaces to sell their crops. It has been witnessed that using historical and real-time data, machine learning models could be built to predict real-time prices and also help manage crop volume.
Selected Crops:
• Maize
• Groundnut
• Bengal Gram
Objective:
Build a machine learning model to discover real-time prices for identified crops across e-marketplaces and accordingly manage volumes.
Provide insights & policy recommendations based on the overall findings

3. You are not limited to these prompts; this is an open challenge. Creativity is fully encouraged – any interesting or novel ways to look at a segment of data will be valuable and engaging for all.

Reference Dataset

You can use any data sets you wish, but here are some ideas:
https://drive.google.com/drive/u/3/folders/13Z7ntEX8ilBfhpvnuJIWahg9KDWDCS0X

Project Description

The 2019-20 National Family Health Survey (NFHS-5), the fifth in the NFHS series, provides information on population, health, and nutrition for India and each state and union territory.

In this challenge provide a visualization and policy recommendations based on the below mentioned caterioges:

You can pick one or more than 1 prompts on how can we:

The dataset contains following categories :

1. Population and Household Profile,

2. Characteristics of Women (age 15-49 years),

3. Marriage and Fertility,

4. Current Use of Family Planning Methods (currently married women age 15–49 years)

5. Unmet Need for Family Planning (currently married women age 15–49 years)

6. Quality of Family Planning Services

7. Maternal and Child Health Maternity Care (for last birth in the 5 years before the survey)

8. Delivery Care (for births in the 5 years before the survey)

9. Child Vaccinations and Vitamin A Supplementation

10. Treatment of Childhood Diseases (children under age 5 years)

11. Child Feeding Practices and Nutritional Status of Children

12. Nutritional Status of Women (age 15-49 years)

13. Anaemia among Children and Women

14. Blood Sugar Level among Adults (age 15 years and above) Women

15. Hypertension among Adults (age 15 years and above) Women

16. Screening for Cancer among Women (age 30-49 years)

17. Tobacco Use and Alcohol Consumption among Adults (age 15 years and above)

• Each of the above-mentioned categories has a few specific indicators: pick any 3 or more categorizes and analyze indicators (Information available in the NFHS dataset in the “Indicator_specific” sheet) and build visualizations (maps, charts, graphs, etc), on overall districts and provide key findings read or otherwise explore the data

• You are not limited to these prompts; this is an open challenge. Creativity is fully encouraged – any interesting or novel ways to look at a segment of data will be valuable and engaging for all.

Reference Dataset

You can use any data sets you wish, but here are some ideas:
https://docs.google.com/spreadsheets/d/1DeLYgfnVYtPrNa1nomVzjXHJeFlcz923/edit?usp=sharing&ouid=105336180941317630214&rtpof=true&sd=true

Project Description

With over 43,273 miles in area Telangana and its population size of 35.19 million residents there is a need to ensure that human development is not impacting the natural ecosystem of the state.

You can pick one or more than 1 prompts on how can we:

• Write an application or perform an analysis on the current status and causes of or solutions to clean water & sanitation.
• Create a visualization that shows how we can better collect and dispose of waste?
• Perform visualizations on the following attributes from the below mentioned dataset; toilet types i.e Public, Community, She. Vehicle types i.e tractor, autos, tricycles, rickshaws, pushcarts. Worker types regular, outsources. Hospital types private, government, urban health centers and garbage generation and or lifted per day.
• You are not limited to these prompts; this is an open challenge. Creativity is fully encouraged – any interesting or novel ways to look at a segment of data will be valuable and engaging for all.

Reference Dataset

You can use any data sets you wish, but here are some ideas:
https://data.telangana.gov.in/dataset/sanitation-urban-local-bodies-telangana

Project Description

Agriculture is pivotal to the state of Telangana as it accounts for 16% of its industry. Due to rapid change in the climate this is causing there to be a disruption in the weather patterns.

This challenge aims to address the looming issue and to create sustainable plans.

You can pick one or more than 1 prompts on how can we:

• Write an application or perform an analysis on the causes of or solutions to Climate action
• Target and analyze the rainfall and weather patterns in the state of Telangana?
• Provide a visualization that helps the long term development of the environment without changing the ecosystem?.
• This hits SGD goal 13 and is of harder difficulty. As it proposes a public policy initiative and will be a more difficult visualization. This would rely on the rainfall data, weather data etc.. to describe the impacts plus regional knowledge of the area.
• You are not limited to these prompts; this is an open challenge. Creativity is fully encouraged – any interesting or novel ways to look at a segment of data will be valuable and engaging for all.

Reference Dataset

You can use any data sets you wish, but here are some ideas:
• https://data.telangana.gov.in/dataset/telangana-rainfall-data-2021
• https://data.telangana.gov.in/dataset/telangana-weather-data-2021
• https://data.telangana.gov.in/ (On the top right corner use the search feature and look out “rainfall” or “weather” and relevant keywords that will take you to the page where you can find the previous years datasets as well i.e 2020, 2019, 2018 etc.. this might help you to perform some form of predictions & draw better insights)

Project Description

Do you have a solution that encompasses more than one or one of the Sustainable Development Goals ? Do you have an idea that is completely out of the box, but still addresses the theme at hand? If so, take on the Wildcard challenge. Participate in the Hackathon to help the government of telangana to measure the progress and impact on the SDG’s.

You can use any data sets you wish, but here are some ideas:
• https://data.telangana.gov.in/
• https://data.gov.in/
• https://data.worldbank.org/
• https://piktochart.com/blog/100-data-sets/
• https://www.kaggle.com/
• https://archive.ics.uci.edu/ml/datasets.php
• https://riceinstitute.org/tags/data