SphereHive, KVGCE Presents

KVGCE Hackwise
KVGCE Hackwise
2025.
25 & 26th April 2025
2025.
25 & 26th April 2025
A 24-hour On site AI hackathon pushing boundaries in space stationyfety.
A 24-hour On site AI hackathon pushing boundaries in space stationyfety.

Brochure
Download the
Brochure
Get all the details you need! Download our brochure for a comprehensive guide to KVGCE HackWise 2025, including event highlights, challenges, prizes, and participation details.
Get all the details you need! Download our brochure for a comprehensive guide to KVGCE HackWise 2025, including event highlights, challenges, prizes, and participation details.
Problem Statement
Problem Statement: AI-Powered Space Station Safety 🚀 With the increasing number of space missions and astronauts living aboard space stations, ensuring safety in extreme environments has become a critical challenge. Malfunctions, equipment failures, radiation exposure, and environmental hazards pose serious threats to crew members. Your task is to develop an AI-powered anomaly detection system that can: ✅ Identify early signs of system failures in life support, power, or communication systems. ✅ Predict potential risks using real-time sensor data and past incidents. ✅ Recommend immediate corrective actions to prevent disasters. Key Challenges to Address: Processing large-scale real-time data from multiple sources. Implementing machine learning models that can detect and classify anomalies. Ensuring high accuracy, low false alarms, and fast response time. Can your AI solution help astronauts stay safe in space? Let’s find out! 🚀
Problem Statement
Problem Statement: AI-Powered Space Station Safety 🚀 With the increasing number of space missions and astronauts living aboard space stations, ensuring safety in extreme environments has become a critical challenge. Malfunctions, equipment failures, radiation exposure, and environmental hazards pose serious threats to crew members. Your task is to develop an AI-powered anomaly detection system that can: ✅ Identify early signs of system failures in life support, power, or communication systems. ✅ Predict potential risks using real-time sensor data and past incidents. ✅ Recommend immediate corrective actions to prevent disasters. Key Challenges to Address: Processing large-scale real-time data from multiple sources. Implementing machine learning models that can detect and classify anomalies. Ensuring high accuracy, low false alarms, and fast response time. Can your AI solution help astronauts stay safe in space? Let’s find out! 🚀
Problem Statement
Problem Statement: AI-Powered Space Station Safety 🚀 With the increasing number of space missions and astronauts living aboard space stations, ensuring safety in extreme environments has become a critical challenge. Malfunctions, equipment failures, radiation exposure, and environmental hazards pose serious threats to crew members. Your task is to develop an AI-powered anomaly detection system that can: ✅ Identify early signs of system failures in life support, power, or communication systems. ✅ Predict potential risks using real-time sensor data and past incidents. ✅ Recommend immediate corrective actions to prevent disasters. Key Challenges to Address: Processing large-scale real-time data from multiple sources. Implementing machine learning models that can detect and classify anomalies. Ensuring high accuracy, low false alarms, and fast response time. Can your AI solution help astronauts stay safe in space? Let’s find out! 🚀
Problem Statement
Problem Statement: AI-Powered Space Station Safety 🚀 With the increasing number of space missions and astronauts living aboard space stations, ensuring safety in extreme environments has become a critical challenge. Malfunctions, equipment failures, radiation exposure, and environmental hazards pose serious threats to crew members. Your task is to develop an AI-powered anomaly detection system that can: ✅ Identify early signs of system failures in life support, power, or communication systems. ✅ Predict potential risks using real-time sensor data and past incidents. ✅ Recommend immediate corrective actions to prevent disasters. Key Challenges to Address: Processing large-scale real-time data from multiple sources. Implementing machine learning models that can detect and classify anomalies. Ensuring high accuracy, low false alarms, and fast response time. Can your AI solution help astronauts stay safe in space? Let’s find out! 🚀
Tools Provided by Us
Tools Provided by Us

FalconEditor will be used to run the simulation and develop and train the AI model in it.
FalconEditor
is an integrated development environment (IDE) that, by design, functions to remove the hurdles that
arise from using game engines and visual effects simulation tools for industrial simulation purposes.
In doing this, FalconEditor also streamlines the generation of high fidelity, photoreal data from
digital twin simulation. This release marks a major step in making digital twin simulation readily
accessible to engineers and data scientists, thus significantly lowering the barriers to its adoption
by AI and automation teams.
FalconEditor will be used to run the simulation and develop and train the AI model in it.
FalconEditor
is an integrated development environment (IDE) that, by design, functions to remove the hurdles that
arise from using game engines and visual effects simulation tools for industrial simulation purposes. In
doing this, FalconEditor also streamlines the generation of high fidelity, photoreal data from digital
twin simulation. This release marks a major step in making digital twin simulation readily accessible to
engineers and data scientists, thus significantly lowering the barriers to its adoption by AI and
automation teams.
FalconEditor will be used to run the simulation and develop and train the AI model in it.
FalconEditor
is an integrated development environment (IDE) that, by design, functions to remove the hurdles that
arise from using game engines and visual effects simulation tools for industrial simulation purposes. In
doing this, FalconEditor also streamlines the generation of high fidelity, photoreal data from digital
twin simulation. This release marks a major step in making digital twin simulation readily accessible to
engineers and data scientists, thus significantly lowering the barriers to its adoption by AI and
automation teams.
Create Accounts to get free access to FalconEditor and FalconCloud
Create Accounts to get free access to FalconEditor and FalconCloud
Prizes & Rewards
Prizes &
Rewards

₹40,000
₹40,000
₹40,000
Trophies &
Exclusive Goodies
Trophies &
Exclusive Goodies
Trophies &
Exclusive Goodies

₹10,000
₹10,000
₹10,000
Trophies &
Exclusive Goodies
Trophies &
Exclusive Goodies
Trophies &
Exclusive Goodies

All participants get 1 year valid .xyz domains worth of Rs 1200/ for free
All participants get 1 year valid .xyz domains worth of Rs 1200/ for free
All participants get 1 year valid .xyz domains worth of Rs 1200/ for free
Get a designated participation certificate to showcase your skills and gain exclusive networking
opportunities
with mentors, and like-minded innovators.
Get a designated participation certificate to showcase your skills and
gain exclusive networking opportunities with mentors, and like-minded innovators.
Guidlines
How The Registration
Process Look Like
Please download the brochure for detailed explaination.
Effortlessly connect with your favorite tools. Whether it's your CRM, email marketing platform.

Round 01
Online Submission (Shortlisting Stage)
Teams must submit a 2-minute video or a PPT explaining their problem-solving approach. Top 25 teams will be shortlisted for the final offline hackathon.
Start: 05 Mar 2025, 12:00 PM IST
End: 25 Mar 2025, 12:00 PM IST

Round 01
Online Submission (Shortlisting Stage)
Teams must submit a 2-minute video or a PPT explaining their problem-solving approach. Top 25 teams will be shortlisted for the final offline hackathon.
Start: 05 Mar 2025, 12:00 PM IST
End: 25 Mar 2025, 12:00 PM IST

Round 01
Online Submission (Shortlisting Stage)
Teams must submit a 2-minute video or a PPT explaining their problem-solving approach. Top 25 teams will be shortlisted for the final offline hackathon.
Start: 05 Mar 2025, 12:00 PM IST
End: 25 Mar 2025, 12:00 PM IST

Round 01
Online Submission (Shortlisting Stage)
Teams must submit a 2-minute video or a PPT explaining their problem-solving approach. Top 25 teams will be shortlisted for the final offline hackathon.
Start: 05 Mar 2025, 12:00 PM
End: 25 Mar 2025, 12:00 PM
Round 02
Final Offline Round
24-Hour Offline Hackathon (April 25-26, 2025) – The 25 shortlisted teams will be invited to the final offline round.
Start: 25 Apr 2025, 11:00 AM IST
Start: 26 Apr 2025, 2:00 PM IST
Round 02
Final Offline Round
24-Hour Offline Hackathon (April 25-26, 2025) – The 25 shortlisted teams will be invited to the final offline round.
Start: 25 Apr 2025, 11:00 AM IST
Start: 26 Apr 2025, 2:00 PM IST
Round 02
Final Offline Round
24-Hour Offline Hackathon (April 25-26, 2025) – The 25 shortlisted teams will be invited to the final offline round.
Start: 25 Apr 2025, 11:00 AM IST
Start: 26 Apr 2025, 2:00 PM IST
Round 02
Final Offline Round
24-Hour Offline Hackathon (April 25-26, 2025) – The 25 shortlisted teams will be invited to the final offline round.
Start: 25 Apr 2025, 11:00 AM
Start: 26 Apr 2025, 2:00 PM
General Guidelines:
The hackathon is open to all college students nationwide. Teams must consist of max 4 members. Inter-college and inter-specialization teams are allowed. All participants must adhere to ethical coding practices and originality of work. Any form of plagiarism or use of pre-built solutions will lead to disqualification. The hackathon consists of two rounds: an online submission round (shortlisting stage) and a 24-hour offline hackathon (final round). 25 teams selected in round 01 will pay ₹499 per team as registration fee to participate in final round.
General Guidelines:
The hackathon is open to all college students nationwide. Teams must consist of max 4 members. Inter-college and inter-specialization teams are allowed. All participants must adhere to ethical coding practices and originality of work. Any form of plagiarism or use of pre-built solutions will lead to disqualification. The hackathon consists of two rounds: an online submission round (shortlisting stage) and a 24-hour offline hackathon (final round). 25 teams selected in round 01 will pay ₹499 per team as registration fee to participate in final round.
General Guidelines:
The hackathon is open to all college students nationwide. Teams must consist of max 4 members. Inter-college and inter-specialization teams are allowed. All participants must adhere to ethical coding practices and originality of work. Any form of plagiarism or use of pre-built solutions will lead to disqualification. The hackathon consists of two rounds: an online submission round (shortlisting stage) and a 24-hour offline hackathon (final round). 25 teams selected in round 01 will pay ₹499 per team as registration fee to participate in final round.
General Guidelines:
The hackathon is open to all college students nationwide. Teams must consist of max 4 members. Inter-college and inter-specialization teams are allowed. All participants must adhere to ethical coding practices and originality of work. Any form of plagiarism or use of pre-built solutions will lead to disqualification. The hackathon consists of two rounds: an online submission round (shortlisting stage) and a 24-hour offline hackathon (final round). 25 teams selected in round 01 will pay ₹499 per team as registration fee to participate in final round.
Why Participate?
KVGCE Hackwise 2025
Is Powered by:
KVGCE Hackwise 2025
Is Powered by:
KVGCE Hackwise 2025
Is Powered by:
FAQ
Frequently
Asked Questions
Have questions? Our FAQ section has you covered with
quick answers to
the most common inquiries.
Have questions? Our FAQ section has you covered with quick answers to the most common inquiries.
Will food and accommodation be provided?
What is the schedule of the hackathon?
How will the projects be evaluated?
What happens after the hackathon?
Who can participate in KVGCE Hackwise?
Who can I contact if I have more questions?
Will food and accommodation be provided?
What is the schedule of the hackathon?
How will the projects be evaluated?
What happens after the hackathon?
Who can participate in KVGCE Hackwise?
Who can I contact if I have more questions?
Will food and accommodation be provided?
What is the schedule of the hackathon?
How will the projects be evaluated?
What happens after the hackathon?
Who can participate in KVGCE Hackwise?
Who can I contact if I have more questions?
Will food and accommodation be provided?
What is the schedule of the hackathon?
How will the projects be evaluated?
What happens after the hackathon?
Who can participate in KVGCE Hackwise?
Who can I contact if I have more questions?