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Project Jupyter

HackathonRemote
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Deadline: 28/02/2027
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About the role

All that you need to know about Project Jupyter

Event Overview

Purpose:

Project Jupyter brings together developers, designers, and problem-solvers to build innovative solutions using Artificial Intelligence and Machine Learning. The event encourages participants to develop creative and impactful projects that address real-world challenges across various domains such as healthcare, education, environment, sustainability, smart cities, and social welfare.

Participants are free to work on any project idea or problem statement, whether it is a global challenge or a local community problem they have identified. The key focus is to create technology-driven solutions with AI/ML integration that demonstrate innovation and practical impact.

Goal:

To develop AI/ML-powered projects and intelligent systems that solve real-world problems, promote technological innovation, and showcase practical applications of emerging technologies.

Why You Should Join

Collaborate:

Work alongside innovators, developers, and designers who are passionate about building cutting edge AI and ML based solutions.

Mentorship:

Gain valuable insights and guidance from industry experts and mentors in the fields of Artificial Intelligence, Machine Learning, and software development.

Recognition & Prizes:

The best projects will be featured and rewarded with exciting prizes, along with opportunities for further development and exposure.

Impact:

Your solution could contribute to real-world change by solving meaningful problems through technology.

How to Get Involved

Register Now:

Don't miss the opportunity to be part of a community of innovators working on AI-driven projects and impactful technological solutions.

Event details

Prize pool
₹30,000
Format
Online
Team size
Individual
Registered
11
Open to
Engineering Students, Postgraduate, Undergraduate, Management, Arts, Commerce, Sciences & Others
Entry
Free

Skills for this role

Skills we detected for this role.

  • Machine Learning