Project- GuruCool

About GuruCool

Join together | Explore Tech | Build Solutions

“Tell me and I forget, teach me and I may remember, involve me and I learn."

We often gather to build something towards great causes. We come together for hackathons and workshops and faculties from schools and colleges support their students whole-heartedly, with complete mentorship and sometimes with those kick-ass ideas.

But, rarely do they get the limelight or the deserved recognition or even the time to work on a complete solution. So this time IBM invites faculties from all over the country for a unique program designed only for them.

A month long Training & Project Build-a-Thon for you dear teacher, to work on your best ideas with support from IBM and SmartBridge mentors. Learn, upskill and collaborate to work on a project.

Exciting Benefits

Not just learning !! Lot more exciting benefits.

Design Thinking Workshops

Earn IBM Skill Badges

Free Access to IBM Cloud

Free Access to IBM Academic Initiative Courseware & Software

Tech Mentor & Industry Leader Connect

Prizes for the best projects developed by the faculty

Special Prizes under different categories

Participation Certificate from IBM

Program Agenda

6-Days Hands-on Training; Virtual Program via WebEx : Timings 4:00PM to 8:00PM

Day-1: Cognitive Computing, Visual Recognition & Image Classification 28th September 2020

Concepts

Introduction to Cognitive Computing
IBM’s Cognitive Point of View – Solving Real-Life Problems
Building Cognitive Applications
IBM Watson AI Services

Computer Vision & Image Recognition
Introduction to IBM Visual Recognition
Introduction to IBM Watson Studio
Explore IBM Visual Recognition Service
Work on Pre-Trained models
Create and Deploy Custom Visual Recognition Models
Build an Image Recognition Application with Node-RED

Usecase

Building custom Image Classification using Visual Recognition service

Day-2: Conversation AI Platforms, Business Bots, Speech Recognition & Analysis 29th September 2020

Concepts

Conversation & Speech Recognition
Conversation AI Platforms
Introduction to IBM Watson Assistant
Dialog Skill and Search Skill
Create your first assistant – powered chatbot

Introduction to STT & TTS Services
Building Custom Speech Recognition Models
Getting Started with Text-to-Speech Service
Understanding Speech Synthesis Markup Language (SSML)
Introduction to Language Translator
Introduction to Tone Analyzer

Usecase

Build a web based chatbot with Voice input & Output

Day-3: Data Insights, Text Analytics, Smart Applications 30th September 2020

Concepts

Introduction to Natural Language Processing
Watson Natural Language Understanding
Explore Knowledge Catalog & NLU Services
Introduction to Watson Discovery
Create a Cognitive News Search Application
Bring your Own data to Watson Discovery
Integrate Watson Discovery with Chatbot

Usecase

Build a Customer Help Desk powered by Watson Discovery Service

Day-4: Machine Learning, Auto AI and IBM Watson Studio 01st October 2020

Concepts

Introduction to Machine Learning
Getting Started with Watson Studio
Explore Various services in Watson Studio
Explore Watson Machine Learning Service
Develop a Machine Learning Model using Auto AI
Deploy Machine Learning Model as a Webservice

Usecase

Build & Deploy Machine Learning Models with Watson Studio

Day-5: Internet of Things (IoT), Cloud App Development 02nd October 2020

Concepts

Internet of Things (IoT), IoT Platforms
Introduction to Watson IoT Platform
Work with IoT Sensor Simulator
Data Streaming and Visualization
Data Storage in CloudantDB (NoSQL DB)
Introduction to Serverless Applications
Explore IBM Cloud Functions
Build an IoT Application with Serverless Computing

Usecase

Build an IoT Application with Serverless Computing

Day - 6: Cloud Native and Design Thinking 02nd October 2020

Concepts

Introduction to containers
Introduction to Docker
Building container images
Using container registries
Running containers
The Kubernetes Ecosystem
Introduction to Red Hat OpenShift
Red Hat OpenShift and Kubernetes

Usecase

Develop a cloud-native application and deploying it on Red Hat OpenShift using CI/CD features.

Frequently Asked Questions

1. Is There An Entry Fee?: Zero. Zip. Zilch. Nada. Nothing. GuruCool is completely free.
2. Who can participate in GuruCool program?: Any faculty, who is interested to learn & explore emerging technologies (IoT, Data Science, AI and Cloud). Faculty of engineering, diploma, Sciences, Business schools, Secondary Schools, etc. can participate in this program. Basic coding skills will be advantageous.
3. How does the 6 Days training will be organized?: The training program will be organized online via WebEx every day between 4:00pm to 8:00pm. You will receive an email with WebEx meeting links once the registration is successful.
4. What is project build-a-thon?: The project build-a-thon is a project development activity, where faculty will be enrolling in a project listed under various technology categories. SmartInternz platform has a project workspace where the respective project should be developed and submitted for mentor review. A detailed demo of the platform will be provided during the 6 Days training program.
5. Can I enroll for the projects on Day-1 of the program?: No. Project enrollment will be active on last day of 6 Days training program. A detailed orientation session on project build-a-thon will be organized on last day of the training program.
6. What if I don’t work on the project: This program includes both Training and Project development, it is mandatory to build & submit the project to receive the participation certificate.
7. Will there be any guidance provided to complete the projects?: Yes. IBM & SmartBridge mentors will be supporting you to build the projects.

8. How Will I Connect With Mentors?: We will be inviting you to Slack channel where you connect with IBM & SmartBridge mentors.
9. Can I participate in teams for Project Build-a-thon?: No. Project enrollments are individual; and every faculty must build & submit a project.
10. How does the projects will be evaluated?: Valid project submissions will be evaluated based on the working features, coding logic & layout, utilization of IBM services, external API’s, performance of models, richness of UI and project documentation.
11. Can I enroll students in this program?: No. GuruCool is an exclusive program for faculty. You can enroll students in exclusive project build-a-thon organized by IBM University Relations & SmartBridge for students. Go to the link https://smartinternz.com/ibm-build-a-thon
12. How can I avail IBM Academic Initiative benefits?: You can register with IBM Academic Initiative using your Institutional email ID, Example: amit@nit.edu, follow the steps as mentioned in this link ! to get benefits Link promocodes, course-ware, downloadable softwares etc.
13. When will I receive the prizes and certificates?: We will keep you posted with the information, please be aware that with COVID and government restrictions in place, couriers will be highly delayed. Rest assured they will reach you but will take time.

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	Impact of COVID-19 on Food Security – Visualization Dashboard
Description	Alarmed by a potential rise in food insecurity during the COVID-19 pandemic, many countries and organizations are mounting special efforts to keep agriculture safely running as an essential business, markets well supplied in affordable and nutritious food, and consumers still able to access and purchase food despite movement restrictions and income losses.
Expected Solutions	Create a machine learning model to predict supply – demand gaps, Supply chain impact food security of people and provide a dashboard to show how the extended lockdowns / post lockdown situations can impact the food security of people
Technologies & Tools	Python 2 or 3, IBM Watson Studio, IBM Cloud for Deployment, Any Web frameworks
Reference	1.https://knoema.com/atlas/India/topics/Food-Security 2. https://data.nal.usda.gov/dataset/international-food-security-0 3.https://www.ifpri.org/blog/addressing-covid-19-impacts-agriculture-food-security-and-livelihoods-india 4. https://www.ers.usda.gov/data-products/food-environment-atlas/data-access-and-documentation-downloads/ 5. https://github.com/IBM/visualize-food-insecurity

Title	Sentiment Analysis of COVID-19 Tweets – Visualization Dashboard
Description	The sentiment analysis of Indians after the extension of lockdown announcements to be analyzed with the relevant #tags on twitter and build a predictive analytics model to understand the behavior of people if the lockdown is further extended. Also develop a dashboard with visualization of people reaction to the govt announcements on lockdown extension
Expected Solutions	Develop a twitter sentiment analysis model to understand the following 1. Get to know people’s sentiment towards the epidemic 2. Understand the sentiments of people on govt. decision to extend the lockdown
Technologies & Tools	Python 2 or 3, IBM Watson Studio, IBM Cloud for Deployment, Any Web frameworks
Reference	1.https://www.kaggle.com/smid80/coronavirus-covid19-tweets 2. https://ieee-dataport.org/open-access/corona-virus-covid-19-tweets-dataset 3.https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7152888/

Title	AI Recruiter – Shortlist a Suitable candidate for specific Job Role
Description	52% of talent acquisition leaders say that the most difficult part of their job is to shortlist the right candidate and 3% of candidates never hear back from a company after one touchpoint. On the flip side, it’s a challenge for employers to communicate well with all their candidates. For high volume recruiting, this would require communicating with thousands of candidates, in addition to a recruiter’s normal screening functions and other duties. Artificial Intelligence enabled software bots can definitely provide a solution for this problem.
Expected Solutions	Software Bot enabled with Artificial Intelligence, which screens the candidate application, shortlists for interview and identify his skills & personality traits through conversation.
Technologies & Tools	IBM Watson Assistant, IBM Watson Personality Insights, Python 2 or 3, IBM Watson Studio, IBM Cloud for Deployment, Any Web / Mobile app frameworks
Reference	1.https://marutitech.com/14-powerful-chatbot-platforms/ 2. https://chatbotsmagazine.com/how-to-develop-a-chatbot-from-scratch-62bed1adab8c 3.https://ideal.com/recruitment-chatbot/

GuruCool

Supporting Organisations & Institutions

About GuruCool

Join together | Explore Tech | Build Solutions

Program Structure

6 Days Hands-on Training

IoT, Data, ML, Artificial Intelligence & Cloud Native

2 - Weeks Mentor Guided Project Development

Project Build-A-Thon

Exciting Benefits

Important Dates

25

SEP

Last Date of Registration

28

SEP

6 Days Training Program Starts

06

OCT

6 Days Training Program Ends

08

OCT

Project Build-a-Thon Starts

28

OCT

Project Build-a-Thon Ends

16

NOV

Winner Announcement, Certificate Distribution etc.

Program Agenda

Projects Build-A-Thon

Eligibility & Pre-requisites

Frequently Asked Questions

http://ibm.biz/devcommunity

Join #gurucool

PRIVACY & TOS

NAVIGATE

CONTACT US

Title	Intelligent Post-Lock Down Management System for Public Transportation
Description	Post-Lockdown, it will be risky to allow the public transportation without proper mechanism to maintain the social distancing, especially the frequency of buses, trains and metros shall be managed properly to utilize the capacity with social distancing criteria. The transport authorities must integrate together to maintain the system properly.
Expected Solutions	An Intelligent app to schedule the timings of transportation, avoiding the over occupancy of public transport / bus stations / railway stations etc.
Technologies & Tools	IBM Watson Assistant, Python 2 or 3, IBM Watson Studio, IBM Cloud for Deployment, Any Web / Mobile app frameworks
Reference	1.https://www.transformative-mobility.org/news/the-covid-19-outbreak-and-implications-to-public-transport-some-observations 2. https://www.teriin.org/article/effects-covid-19-transportation-demand 3.https://www.uitp.org/public-transport-and-covid-19