Welcome to Hack Celestia – the fourth season of our hackathon! This 48-hour event brings together the brightest minds from around the world, challenging innovators, creators, and tech enthusiasts to collaborate, compete, and bring solutions to life. Hack Celestia is a space for pushing boundaries, building impactful projects, and connecting with a global community of future-focused thinkers.
International Participation | Diverse Challenges | 3 Days of Non-Stop Innovation
The countdown to brilliance begins now—don’t miss your chance to be part of something extraordinary!
You can view the reference ppt template here: Reference ppt
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Smart City Traffic Control with 6G Sensors:
Cities face constant issues of traffic congestion, delays, and accidents, which increase pollution and reduce quality of life. With next-generation connectivity, how can urban traffic be managed in a way that ensures smoother flow and quicker response to disruptions?
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Emergency Response Optimization using 6G Networks
In a city where emergencies occur unpredictably, delays in response can cost lives. How can future networks be used to detect incidents early and ensure that emergency services reach the scene in the fastest and safest way possible?
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Smart Parking System with 6G IoT:
Urban areas struggle with limited parking availability, leading to wasted time, fuel, and frustration. How can technology help citizens quickly locate and secure available parking spaces in real time?
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Drone Fleet Management over 6G:
With growing reliance on drones for logistics and deliveries, cities face challenges in managing their routes, avoiding collisions, and ensuring timely service. How can large fleets of drones be coordinated effectively in urban environments?
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Smart Environmental Monitoring:
Cities increasingly face pollution, rising temperatures, and noise issues that affect public health. How can real-time monitoring and alerts empower communities and governments to take timely action?
AI Research Assistant
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Multi-System Carbon Tracker:
Organizations struggle to understand the combined environmental footprint of their digital systems. How can energy usage and emissions be tracked across diverse platforms in a unified and actionable way?
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Historical Resource Audit & Reporting:
Sustainability efforts require accountability. How can organizations access detailed historical data on their energy and resource consumption for audits and long-term planning?
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Energy Profiling for Functions:
Developers often write code without knowing which parts consume excessive energy. How can energy-intensive functions be identified and made visible for optimization?
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Code Execution Carbon Impact Simulator:
Software consumes resources differently depending on workload. How can developers estimate the environmental impact of their code and explore alternatives to reduce it?
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Green Job Scheduler:
Many tasks in computing can be flexible in timing, but current systems don’t consider energy efficiency. How can scheduling be optimized to align with low-demand or renewable-rich periods?
Sustainable Software & Digital Efficiency
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Portable Peer Identity Layer:
Today, most digital identities are tied to big platforms (Google, Apple, Facebook), limiting user control and portability. People lack a universal way to manage their own identities securely across devices and apps. How can we enable individuals to own and carry their digital identity independently of centralized providers?
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Resilient IoT Data Exchange Protocol:
Billions of IoT devices rely on cloud services and stable internet — but in rural, disaster-prone, or low-power environments, this isn’t reliable. Devices must still exchange data and remain functional even with poor connectivity. How can IoT devices communicate effectively, sync offline, and conserve energy without constant cloud dependency?
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Open Multi-Hop Routing for Browsers
The web today depends heavily on centralized servers, making applications vulnerable to outages, surveillance, and single points of failure. How can browsers themselves directly relay data through multiple peers, enabling resilient, decentralized web applications that continue to function even without central infrastructure?
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Censorship-Evasion Transport Layer:
In many regions, authorities monitor or block online communication by detecting and filtering traffic. This restricts access to free expression and information. How can communication be disguised in everyday internet traffic so that it remains accessible and censorship-resistant under such conditions?
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Minimal-Metadata Email Alternative:
Traditional email exposes metadata — sender, recipient, timestamp — even when message bodies are encrypted. This metadata can be tracked, profiled, or exploited. How can we create an email-like communication system that protects not just the message but also the surrounding metadata?
Open Internet & Protocol Innovation
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Satellite Data for Disaster Response:
Natural disasters like floods, wildfires, and landslides strike with little warning, and timely information is critical to saving lives. Traditional ground-based monitoring often falls short in speed and coverage. How can satellite imagery and weather data be harnessed to rapidly detect disasters, assess their impact, and provide actionable insights for emergency response teams?
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Satellite-Backed Emergency Connectivity Kit:
When disasters destroy ground infrastructure, entire regions can lose access to communication — isolating victims and slowing rescue operations. How can satellite-based communication channels provide a reliable, lightweight, and accessible way for people to connect during crises when no internet or cellular networks are available?
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Satellite-Powered Wildlife Detection:
Conservation of endangered species is limited by the difficulty of monitoring wildlife across vast, remote, or hostile terrains. Ground-based tracking is costly and often incomplete. How can satellite imagery and advanced analysis methods be used to detect, track, and study wildlife populations at scale — overcoming challenges like cloud cover, terrain variations, and seasonal changes — to aid global conservation efforts?
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Satellite-Enabled Climate Monitoring and Carbon Tracking:
Climate change is accelerating, yet precise, real-time tracking of environmental metrics like deforestation, glacial melt, ocean temperatures, and greenhouse gas emissions remains fragmented. How can satellite constellations and AI-driven analytics be leveraged to build an accurate, open-access global monitoring system that tracks carbon emissions, land-use changes, and environmental degradation — empowering policymakers, researchers, and communities to take data-driven climate action?
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Precision Agriculture with Satellite Intelligence:
Farmers, especially in developing regions, face challenges like unpredictable weather, inefficient irrigation, and low crop yields. Satellite data offers a scalable way to monitor soil health, crop growth, and water availability. How can multispectral and hyperspectral satellite imagery be integrated with ground sensors and predictive models to deliver real-time, location-specific insights that help farmers optimize resources, reduce waste, and improve food security?
Space Tech & Satellite Applications
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Autonomous Research Co-Pilot:
Researchers spend countless hours scanning literature, drafting reviews, and identifying research gaps. How can AI agents autonomously analyze large volumes of academic material, generate meaningful insights, and suggest promising research directions?
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AI for Creative Co-Design:
Designers, writers, and artists often face creative blocks. How can generative AI collaborate as a true creative partner — suggesting designs, refining ideas, or generating novel concepts while preserving human originality and intent?
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Autonomous Productivity Agents:
Professionals are overloaded with repetitive tasks like scheduling, email triage, and report drafting. How can agentic AI plan, prioritize, and autonomously execute such tasks to free up human focus for higher-value work?
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AI-Powered Simulation & Scenario Generation:
Businesses, governments, and educators often rely on simulations to prepare for emergencies, negotiations, or training. How can generative AI build dynamic, multi-agent simulations that adapt and evolve, providing rich “what-if” scenarios for planning and decision-making?
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Ethical & Responsible Content Generation:
Generative AI is powerful but can also produce misinformation, biased content, or harmful material. How can we design systems that not only generate high-quality outputs but also embed safeguards for fairness, safety, and accountability?
Gen AI & Agentic AI
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Adaptive Environment Agents:
Modern environments—whether offices, factories, or homes—often waste resources due to inefficiency in space use, energy consumption, or workflow. How can autonomous agents continuously monitor these environments and suggest or even implement improvements in real time?
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Anomaly Detection Agents:
In industries and digital platforms, unusual patterns—whether in machine performance, social media activity, or system logs—can signal critical issues. How can intelligent agents detect these anomalies in real-time data streams and trigger timely interventions?
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Virtual Crowd Management:
From large-scale multiplayer games to online events, managing the movement and behavior of digital crowds remains a challenge. How can autonomous agents guide, control, and simulate virtual crowds to ensure smooth interactions and realistic experiences?
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AI Agents for Creativity Support:
Artists, designers, and creators often face creative blocks or struggle with exploring diverse ideas. How can intelligent agents act as co-creators—suggesting variations in music, art, design, or storytelling—while adapting to the user’s unique style?
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Self-Learning Routine Automator:
Repetitive digital tasks consume valuable human time and energy. How can autonomous agents observe user behavior, learn patterns, and eventually automate these routines efficiently while adapting to changing workflows?
Intelligent Agent Autonomous
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Avatar Emotion & Expression Mapping:
In virtual spaces, avatars often fail to capture the depth of human emotions, reducing immersion and authenticity. How can avatars be designed to realistically mirror a user’s facial expressions, gestures, and emotions in real time?
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Social Interaction Moderation:
Toxic behavior, harassment, and inappropriate content can damage user experience and safety in virtual worlds. How can AI agents proactively detect and address such behavior to ensure healthier and more respectful interactions?
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Adaptive Virtual Environments:
Static virtual spaces can feel repetitive and fail to engage users for long periods. How can virtual worlds dynamically adapt to user preferences, behaviors, or contexts to create truly personalized experiences?
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Accessibility in Virtual Worlds:
Differently-abled users often face barriers in navigating and engaging with immersive environments. How can inclusive design and intelligent agents make virtual worlds more accessible, enabling seamless interaction, communication, and participation for all?
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Gamified Learning in VR/AR:
Traditional teaching methods often struggle to fully engage learners or provide hands-on experiences. How can immersive VR/AR environments use gamification and simulations to make education more interactive, effective, and enjoyable?
Metaverse & Virtual World
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AI-Aided Drug Discovery:
Traditional drug development is time-consuming, costly, and often fails in later stages. How can AI algorithms predict potential drug candidates or optimize molecular structures to accelerate discovery for specific diseases?
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Personalized Medicine:
Patients respond differently to the same treatments due to genetic variability, leading to ineffective therapy or adverse effects. How can intelligent systems recommend personalized treatments or drug dosages based on an individual’s genetic profile?
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Disease Outbreak Prediction:
Epidemics and pandemics pose global threats, often spreading faster than interventions can be implemented. How can predictive models using biological, environmental, and social data forecast outbreaks early and guide preventive measures?
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Biotech Waste Management:
Pharmaceutical and laboratory processes generate hazardous waste that can harm the environment if improperly handled. How can sustainable technologies and strategies reduce the ecological impact of biotech waste?
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Smart Drug Delivery Systems:
Conventional drug delivery can be inefficient, causing side effects or reduced efficacy. How can nanotechnology or AI-powered solutions enable targeted drug delivery for improved treatment outcomes?
Pharmaceutical & Biotechnology
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Smart Self-Healing Materials:
Materials used in construction, transportation, and electronics often degrade over time, leading to costly repairs and safety risks. How can smart materials be designed to automatically detect and repair cracks or damage without external intervention?
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Nanomaterials for Water Purification:
Access to clean water remains a global challenge, with contaminants like heavy metals, microplastics, and pathogens threatening health. How can nanoscale materials be engineered to efficiently filter and purify water at large scale?
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Energy Storage Solutions:
Conventional batteries struggle with limited capacity, slow charging, and short lifespans. How can advanced nanomaterials be developed to enhance energy density, charge speed, and durability in next-generation storage systems?
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Biodegradable Nanomaterials:
The widespread use of synthetic materials contributes to long-term environmental pollution. How can biodegradable nanomaterials be designed to perform effectively during use while safely degrading after disposal?
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Materials for Flexible Electronics:
Wearable devices, foldable screens, and stretchable sensors require durable yet highly conductive materials. How can novel nanomaterials enable the development of flexible electronics without compromising performance?
Material Science & Nanotechnology
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Automated Cybersecurity Incident Detection and Response System:
Build a system that automates the detection and response to cybersecurity incidents, including real-time threat analysis, containment measures, and reporting. Link your solution to a real-world problem.
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Enhancing SOC Resilience Through AI-Driven Traffic Simulation:
Develop an AI-based Breach and Attack Simulator that not only generates both normal and malicious network traffic to accurately simulate diverse cyber attack scenarios but also incorporates a multi-purpose system for conducting simulated attacks, detection, and response, thereby assisting organizations in evaluating and improving the capabilities of their Security Operations Center (SOC)
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Ransomware Detection and Mitigation System:
Devise a system capable of detecting and mitigating ransomware attacks, preventing data encryption and unauthorized access to critical systems.
