Welcome to Hack Celestia – the third 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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Hackathon Assistant:
Develop a chatbot that can provide clear information about various hackathons, including schedules, FAQs, events, phases, prizes, collaborators, Sponsors, resources, themes/track information. This chatbot should be able to answer user queries related to specific hackathons. Additionally, the chatbot should cater to some of the following features: multilingual support, real-time updates, interactive FAQs, and resource recommendations. Also, there should be a differentiating factor for available platforms
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Real-Time Campus People Density Mapping System
The challenge is to develop a system that tracks and maps the movement of people across a university campus in real time using camera footage. Leveraging computer vision and machine learning, the system should detect, identify, and monitor individuals. It will visualise movement patterns on a campus-wide map or dashboard, track crowd density, and provide insights into space utilization. The system should also be capable of sending real-time alerts for unusual activities or security breaches and generating heatmaps and analytics for long-term trends.
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Excessive Honking Problem:
Develop a solution to address the increasing issue of excessive road honking in a solution to address the increasing issue of excessive road honking in urban areas, which contributes to noise pollution and impacts public health. You are tasked with creating an application that utilizes machine learning in real-time
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Tackling Misinformation in Media:
Misinformation across media platforms undermines public trust and distorts reality. To address this issue, develop an AI-powered solution that can identify and verify misleading information in real-time. A tool that detects false content, cross-references it with credible sources, and automates the flagging of inaccuracies, ultimately promoting accurate information dissemination and safeguarding viewers from deception
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Unified Prompt Generation and Optimization Platform:
Design a comprehensive platform that allows users to generate, optimise, and refine multi-modal prompts for a variety of applications, such as creative writing, coding, music composition, and art creation. The platform should enable users to input context-specific parameters and receive suggestions to improve prompts based on factors like creativity, specificity, and clarity.
AI-ML
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Smart Navigation:
Develop a smart navigation system using IoT technology to assist visually and directionally impaired individuals with real-time, step-by-step guidance through audio feedback or haptic sensors. The system will detect and avoid obstacles, providing timely alerts for safe navigation. Designed for both indoor and outdoor environments, the system should use appropriate positioning technologies to ensure accurate guidance. Users should have an option to customize their preferred feedback method, whether through audio or tactile cues.
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Far Edge: Sustainable IoT via TinyML:
Develop sustainable IoT solutions using TinyML to perform on-device analytics at the far edge without cloud dependency. Focus on real-time detection of abnormal conditions like health and safety violations, environmental hazards, or equipment anomalies across areas like agriculture, healthcare, and smart buildings.
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Pet’s Monitoring:
Develop an IoT solution to monitor pets in a home or outdoor environment, design sensor nodes to gather data on pets' movement and environmental conditions, and incorporate geospatial tracking and data analysis tools to support pet well-being and behaviour monitoring. It should track activity levels, providing insights into exercise and behaviour, while also monitoring environmental factors like temperature and humidity to ensure pets’ comfort. Health metrics such as heart rate and sleep patterns should be captured through compatible wearables, with data analyzed for behavioural trends and potential health issues.
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Predictive Maintenance for equipment:
Create a model for predictive maintenance leveraging sensor data to forecast potential failures in industrial equipment. This proactive approach allows for timely maintenance, minimizing downtime and optimizing operational efficiency.
Internet of Things (IoT)
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Solving One Day-to-Day Problem using Blockchain:
Pick any problem you see in your daily life and figure out how blockchain can fit into finding a solution to it and why it should be addressed. Provide a solution using only blockchain or blockchain in conjunction with any other technology you choose.
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Secure and Transparent Blockchain-Based Voting System for Elections:
Develop a secure and transparent blockchain-based voting system that ensures tamper-proof voting while maintaining voter privacy and reducing fraud.
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Blockchain for Crowdsourcing:
Create a solution that can be used to gather the inputs from multiple contributors, assign a quality score to each input, and automatically pay tokens to the contributors based on the quality score. The app should have an option of creating a crowdsourcing project and setting the rules for awarding tokens. These rules would be executed as Smart contracts on the blockchain network. Link your solution to a real-world problem.
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Blockchain-Based NFT Platform for Secure Digital Credentials in Education:
Build a blockchain-based platform using NFTs for secure, verifiable digital credentials. The system will allow institutions to issue tamper-proof certificates, provide real-time verification, and enable learners to create portfolios showcasing their academic and practical skills. It will feature decentralized storage, global interoperability, a user-friendly interface, and strong privacy controls.
Blockchain Technology
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Interactive Tools for Modern Adaptive Learning:
Traditional learning methods often fail to engage students, especially in abstract subjects. Explore how technology can create interactive tools that enhance engagement and improve learning outcomes across disciplines. Link your solution to a real-world problem.
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Virtual Reality in Real Estate and Interior Design:
Real estate websites struggle to capture the true essence of properties, often leading to buyer dissatisfaction. Explore how virtual reality property interior experiences can create more immersive and informative views, helping buyers make better decisions.
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Enhancing Online Shopping Experiences with AR/VR Technology:
Utilize AR/VR technology to enhance online shopping by creating immersive, interactive experiences that replicate the tactile and in-store interactions customers value, bridging the gap between physical and digital retail environments.
AR-VR
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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.
Cybersecurity
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Self-Service APIs or Connectors for Cloud Platforms:
Create different cloud connectors which can be used to orchestrate tasks from Unified Self-Service cloud portals. All these connector modules can be written in Python or Go and can connect to REST API or RPC-based solutions. Link your solution to a real-world problem.
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Unified monitoring solution for VMs and Containers:
The objective of this task is to create and integrate a unified monitoring solution for VMs and Container environments. The Solution should have options to scrape data from different required matrices and store it in an RTDB. There should be options to visualize the matrices and generate alerts on required options. Link your solution to a real-world problem.
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Create a Vulnerability Assessment Scanner:
Develop an open-source vulnerability assessment scanner for application programs and networks. This tool should integrate with cloud-native orchestrators like OpenStack and Kubernetes. It should be suitable for both beginners and professional security testers, similar to OWASP ZAP. Link your solution to a real-world problem.
Cloud Computing
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Advanced Robotic Navigation and Obstacle Detection System:
Develop an autonomous robotic system that can perform real-time path detection and obstacle avoidance using advanced sensors and machine learning algorithms. Additionally, the system should incorporate dynamic environmental mapping and adaptive navigation capabilities for complex terrains. You are tasked with creating a solution that seamlessly integrates with IoT devices to enhance situational awareness and decision-making across various applications.
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Self-Protection System for Drones Against Airborne Threats:
Drones lack a self-protection mechanism against large birds and similar airborne threats, which can cause damage or failure. Develop a system that enables drones to detect and avoid such threats in real time, ensuring safe operation. The solution should be efficient, lightweight, and adaptable to various drone models and use cases.
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Enhanced Stability and Load Balancing Solution in Low-Flying Drones:
: Drones face instability due to load balancing issues, particularly at high altitudes and in strong wind conditions, which affects their performance and control. Develop a solution to improve drone stability by addressing load balancing and altitude adjustment in high-wind environments, ensuring reliable and efficient operation.
Robotics/Drones
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Genomic Data Acceleration for Personalized Medicine:
Build an HPC-enabled platform to accelerate genomic data processing and variant analysis, enabling rapid, precise insights for personalised medicine. The solution should optimise large-scale sequencing, ensure data privacy, and incorporate machine learning for predictive analytics, ultimately supporting individualised treatment plans and faster, data-driven healthcare decisions.
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Large-scale graph Analytics for Pattern Discovery:
Create an HPC-powered application to perform large-scale graph analytics on massive datasets (e.g., social networks, and transportation systems) to uncover patterns and insights on connectivity and behaviour. The solution should focus on optimizing graph processing, enabling real- time analysis, and ensuring scalability to handle complex networks for impactful, data- driven decisions.
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Generative Art Platform with GANs for Creative Customization:
Design a platform powered by Generative Adversarial Networks (GANs) to produce unique, AI-generated artwork with customizable style parameters. Participants should focus on creating an intuitive interface where users can select or adjust artistic elements (e.g., colours, textures, themes) to shape the final piece, making generative art accessible, personalized, and inspiring for users of all skill levels.
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GPU-Accelerated 3D Rendering and Neural Visualization Tool:
Develop a high- performance tool leveraging GPU computing and neural rendering for fast, detailed 3D rendering and visualization of complex datasets. Targeting fields like architecture, engineering, and data science, the solution should enable users to render realistic scenes, interact with visualizations in real-time, and customize rendering parameters to explore intricate data insights and designs efficiently.
High-Performance Computing (HPC) & GPU Computing
Participants are invited to explore their creativity by selecting their own problem statement to address a unique challenge using innovative technologies.
