SURVEYSPARROW SPONSORED 36 HOURS HACKATHON-2023

Battle of Brackets

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The Finalists

Abstract Submission:

6th March

Event:

March 11th & 12th

Cash Rewards

1st Prize - Rs.50K

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Cash Rewards

2nd Prize - Rs.30K

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Cash Rewards

3rd Prize - Rs.20K

The Problem

Personalized surveys

Develop an AI-powered tool that can generate personalized surveys for each respondent based on their individual
characteristics and preferences. The tool could use data from previous surveys, social media profiles, and other sources to generate surveys that are tailored to each person.

Emotion recognition

Develop an AI model that can recognize the emotional state of a speaker based on their voice and tone. The model could be integrated into a voice-based survey platform to provide additional insights into the emotional impact of a survey or the responses provided.

Multi-language support

Develop an AI-powered voice recognition system that can transcribe speech in multiple languages. The system could be integrated into a voice-based survey platform to allow for multilingual surveys, making it easier for people from different linguistic backgrounds to participate.

Context-aware surveys

Develop an AI-powered survey platform that can dynamically adjust the questions it asks based on a user's context and location. For example, the platform could use GPS data to determine a user's location and ask relevant questions about their surroundings

Human-AI interaction

Develop an AI-powered survey platform that allows for human-AI interaction, such as asking follow-up questions based on a user's responses or providing personalized recommendations based on the data collected. The platform could use IoT data and AI algorithms to enhance the survey experience and provide more valuable insights.

Automated response analysis

Develop an AI-powered system that can automatically analyze and categorize survey responses based on sentiment, keywords, and other criteria. The system could use machine learning
algorithms to accurately identify patterns and trends in survey responses,
providing valuable insights to survey creators and participants.

Responsiveness prediction

Develop an AI-powered system that can predict the likelihood of a user responding to a survey based on their previous responses, demographic information, and other factors. The system could use this information to optimize survey design and outreach efforts, increasing the overall response rate and providing a more comprehensive view of survey results.

Automated survey scheduling

Develop an AI-powered system that can automatically schedule and distribute surveys to users based on their availability, preferences, and other factors. The system could use a machine
learning algorithms and GPT-3's language generation capabilities to generate targeted and engaging messages, improving the overall response rate and providing a more comprehensive view of survey results