Test Page – AI for Social Good Awards 2023

Contact Details

Full Name *

Email *

Confirm Email

Contact Number *

Designation *

Details about your Startup

Name of Startup *

Please mention the name of the startup that is applying for the awards

Brief description about your startup *

Briefly mention the kind of work that you do including the sectors catered with a specific focus in terms of work done in the AI domain.

State of Organization *

City of Organization *

Year of Incorporation *

Year must be between 1990 ~ 2023

Number of employees in India *

Startup Website / URL *

Award Category

For which sector do you wish to nominate your startup? *

Health & Sanitation
Skill Development & Livelihoods
Sustainable Environment

Use Case Headline *

Provide a succinct name to your use case that is descriptive of the problem and solution (4-6 words)

Technologies Used *

Machine Learning
Natural Language Processing (NLP/NLU/NLG)
Computer Vision
AI Ops
AR/VR
Graph Technology
Cybersecurity
Quantum Computing
Others

Other - Technologies Used *

Mention the beneficiary of your use case and specify the name *

Mention who is utilizing the use case, and also share the name of the entity.

Understanding the Problem

Describe the problem that you have solved *

Why is the problem selected by you important to be solved? *

Provide a brief to help us understand the significance of the problem and why it needs to be solved.

Describe your solution to the identified problem with a specific focus on how you are leveraging AI. *

Highlight the solution, focusing on role of AI, also focus on why just analytics would not have been sufficient to solve the problem.

Solution Innovation & Implementation

Provide a high-level tech stack view of the solution. *

Describe your solution with a focus on technicalities like infrastructure, platforms, techniques, services, etc.

Describe the dataset used in terms of volume, data type, data sources, and complexity. *

Highlight the data related challenges faced while implementing the solution. *

Focus on challenges like data availability, accessibility, security, processing etc.

Impact & Scale

Highlight the achieved scale and overall impact of your solution. *

Highlight qualitative and quantitative impact achieved

Highlight the potential scale which can be achieved as per the current scenarios *

Timeline: 6 months to 24 months

How did the solution impact the key performance metrics

Cost Optimization
Operational Efficiency
User Experience
Others? Please specify

Other - How did the solution impact the key performance metrics *

Which of the following Responsible AI aspects did you accommodate in your solution implementation? *

Unbiasedness/Fairness
Data Privacy & Security
Explainability
Didn't consider
Other

Other - Which of the following Responsible AI aspects did you accommodate in your solution implementation? *

How do you secure end-to-end implementation of responsible AI solutions *

Well-defined strategy with enterprise-wide frameworks, governance structures, and cutting-edge technology infrastructure for comprehensive risk assessment and mitigation
Although no formal strategy, ad-hoc review mechanisms to monitor AI solutions in production for data drift, model drift, and staleness
Reactive risk management strategies only
None

Please provide relevant documents to support your nomination *

Upload the details onto a publicly shared folder like, Google Drive, SharePoint etc. and paste the link in the text box below

Terms & Conditions

Selected entities would be required to provide supporting documents, if asked, to the panel for further clarification.
Applicants to provide consent that, if chosen, their solutions is likely to be featured through various platforms of Telangana AI Mission (T-AIM) or its partners. Any sensitive detail can be removed upon request and will not be shared further.
The decision of the jury will be final and binding.

I agree to the Terms & Conditions

Please agree terms and Conditions

Checkboxes

Muralitharan
mythili@iamneo.ai
divyav
pmokkapati@nasscom.in