Deadline: 15-Sep-2026
The Gujarat Police Hackathon Innovation Challenge invites students, researchers, startups, technology professionals, and industry experts across India to develop innovative AI-powered CCTV integration and video analytics solutions for real-world law enforcement applications.
The challenge is designed to bring together India’s technology and research community with the Gujarat Police to develop next-generation solutions that can improve public safety, strengthen policing capabilities, and support faster and smarter law enforcement operations.
About the Gujarat Police Hackathon Innovation Challenge
The Gujarat Police Hackathon Innovation Challenge is a technology-focused initiative aimed at using artificial intelligence, computer vision, and advanced video analytics to address practical law enforcement requirements.
The challenge encourages participants to develop technologies that can work with diverse CCTV systems and transform multiple video sources into actionable information for police operations.
A key focus is on developing solutions that are not merely prototypes but have the potential for real-world deployment at scale.
Purpose of the Hackathon
The challenge aims to harness emerging technologies to strengthen public safety and law enforcement across Gujarat.
Its key objectives include:
- Developing AI-powered solutions for policing
- Improving CCTV integration and management
- Advancing real-time video analytics
- Supporting faster identification of persons and vehicles
- Detecting events of interest through AI
- Generating real-time alerts for law enforcement
- Connecting video intelligence with relevant government databases
- Developing production-ready technologies
- Encouraging collaboration between technology innovators and the Gujarat Police
AI-Powered CCTV Integration
One of the central challenges is developing systems capable of integrating diverse CCTV networks into a unified platform.
Participants are expected to explore technologies that can bring multiple CCTV systems together and enable police personnel to monitor and analyse information more effectively.
A unified approach can help overcome the challenges associated with fragmented CCTV infrastructure and provide a more coordinated view of video information.
Video Analytics and Artificial Intelligence
The hackathon focuses heavily on AI-powered video analytics.
Participants can develop solutions that use artificial intelligence to analyse live video feeds and identify relevant persons, vehicles, and events.
Potential capabilities include:
- Identification of persons of interest
- Identification of vehicles of interest
- Detection of events of interest
- Analysis of live CCTV feeds
- Cross-referencing video information with government databases
- Real-time alert generation
- Faster access to actionable intelligence
Solutions should be designed with practical policing requirements and real-world deployment in mind.
Integration With Government Databases
Another important component of the challenge is the ability to cross-reference live video feeds with government databases.
This can allow AI systems to combine information from CCTV footage with relevant government-held information, helping law enforcement personnel obtain more useful and timely intelligence.
Participants should consider how their systems can perform such integration effectively while maintaining reliability and operational suitability.
Real-Time Alerts for Law Enforcement
The challenge emphasises the development of systems capable of generating real-time alerts.
Real-time alerts can help police personnel respond more quickly when an AI system detects a person, vehicle, or event matching predefined requirements.
The goal is to support faster decision-making and improve the efficiency of law enforcement operations.
Production-Ready Technology
The hackathon is not limited to theoretical concepts.
Participants are expected to develop production-ready technologies that have genuine potential for real-world deployment.
Successful solutions should therefore consider factors such as:
- Scalability
- Reliability
- Real-time performance
- Integration with existing CCTV infrastructure
- Practical law enforcement requirements
- Ability to operate across diverse systems
- Deployment potential
The emphasis on real-world implementation makes practical functionality an important consideration for participating teams.
Prize Pool
The Gujarat Police Hackathon Innovation Challenge offers a total prize pool of:
₹51,00,000
The prize money will be awarded to the top-performing teams whose solutions demonstrate the greatest potential for real-world deployment and impact.
This substantial prize pool provides an opportunity for innovators to gain recognition while developing technology with practical public-safety applications.
Who Can Apply?
The challenge is open to a broad range of participants from across India.
Eligible applicants include:
- Undergraduate students
- Postgraduate students
- Academic faculty
- PhD scholars
- Independent research groups
- DPIIT-registered startups
- Working professionals
- Established technology enterprises
- System integrators
Participants should have relevant capabilities in areas such as artificial intelligence, computer vision, video analytics, security, or related technologies.
Eligibility for Students
Undergraduate and postgraduate students enrolled at recognized academic institutes across India are eligible to participate.
The hackathon provides students with an opportunity to apply their academic and technical knowledge to a real-world law enforcement challenge.
Student teams can potentially combine skills from areas such as computer science, artificial intelligence, data science, electronics, cybersecurity, and related disciplines.
Researchers and Academic Participants
The challenge also welcomes academic faculty, PhD scholars, and independent research groups.
Researchers can use their expertise in artificial intelligence, computer vision, machine learning, video analytics, and related fields to develop solutions addressing practical policing needs.
The challenge provides an opportunity to translate research concepts into technologies with potential real-world applications.
Startups and Technology Companies
DPIIT-registered startups, established technology enterprises, and system integrators can also participate.
This allows companies with existing technology capabilities to apply their expertise to a public-sector challenge and potentially develop solutions suitable for large-scale deployment.
Participants with experience in AI, computer vision, security, and system integration may be particularly relevant to the technical requirements of the challenge.
Key Technology Areas
The challenge is particularly relevant to innovators working in:
- Artificial intelligence
- Computer vision
- Video analytics
- CCTV integration
- Machine learning
- Real-time data processing
- Database integration
- Security technology
- Automated alert systems
- Large-scale system integration
Teams may combine multiple technologies to create an integrated solution capable of addressing complex law enforcement requirements.
What Makes a Strong Hackathon Solution?
A competitive solution should focus not only on demonstrating that a technology works but also on showing how it could be deployed in real policing environments.
Teams should consider:
- The practical law enforcement problem being addressed
- Accuracy and reliability
- Real-time processing capabilities
- Integration with existing CCTV systems
- Scalability across multiple locations
- Database integration
- Quality of alerts
- Ease of operational use
- Deployment requirements
- Potential impact on policing efficiency
Solutions that clearly demonstrate practical deployment potential may be better positioned to compete for the prize pool.
Why the Challenge Matters
CCTV networks generate large volumes of video information, but analysing these feeds manually can be challenging, particularly when information comes from multiple systems.
AI-powered video analytics can help transform large quantities of video data into actionable alerts and information.
By bringing students, researchers, startups, technology companies, and system integrators together with the Gujarat Police, the challenge seeks to encourage innovative solutions to real-world public-safety requirements.
Benefits of Participating
Participants can gain an opportunity to:
- Work on a real-world law enforcement technology challenge
- Develop AI and computer vision applications
- Build production-oriented technology
- Explore large-scale CCTV integration
- Apply research to practical public-sector needs
- Demonstrate their technical capabilities
- Compete for a share of the ₹51 lakh prize pool
- Develop solutions with potential real-world deployment and impact
- Collaborate with a law enforcement organisation
How to Prepare a Strong Solution
Teams should begin by clearly understanding the technical and operational problem they are attempting to solve.
A strong submission should demonstrate:
- A clearly defined policing challenge
- A practical AI-based solution
- Effective CCTV integration
- Reliable video analytics
- Real-time processing
- Appropriate database integration
- Accurate identification or event detection
- Useful real-time alerts
- Scalability
- Strong potential for real-world deployment
Teams should also clearly communicate how their solution can improve law enforcement operations rather than focusing solely on the underlying technology.
Key Facts at a Glance
- Challenge: Gujarat Police Hackathon Innovation Challenge
- Location: Gujarat, India
- Participants: Students, researchers, startups, professionals, enterprises, and system integrators across India
- Prize pool: ₹51,00,000
- Primary focus: AI-powered CCTV integration and video analytics
- Key technologies: Artificial intelligence, computer vision, video analytics, security, and system integration
- Core challenge: Integrating diverse CCTV systems into a unified platform
- Data integration: Cross-reference live video feeds with government databases
- AI capabilities: Identify persons, vehicles, and events of interest
- Alerts: Real-time alerts for law enforcement
- Deployment focus: Production-ready, scalable technologies
- Eligible students: Undergraduate and postgraduate students from recognized Indian academic institutes
- Other eligible participants: Faculty, PhD scholars, independent research groups, DPIIT-registered startups, working professionals, technology enterprises, and system integrators
Frequently Asked Questions
What is the Gujarat Police Hackathon Innovation Challenge?
It is an innovation challenge that invites participants across India to develop AI-powered CCTV integration and video analytics solutions for real-world law enforcement deployment.
How much is the total prize pool?
The total prize pool is ₹51,00,000.
Who can participate in the hackathon?
Eligible participants include undergraduate and postgraduate students, academic faculty, PhD scholars, independent research groups, DPIIT-registered startups, working professionals, established technology enterprises, and system integrators.
Can students participate?
Yes. Undergraduate and postgraduate students from recognised academic institutes across India are eligible.
Can startups participate?
Yes. DPIIT-registered startups can participate in the challenge.
What technology areas does the challenge focus on?
The challenge focuses on AI-powered CCTV integration, computer vision, video analytics, artificial intelligence, security, database integration, and real-time alert systems.
What should the CCTV solution be able to do?
The challenge calls for solutions that can integrate diverse CCTV systems into a unified platform and analyse live video feeds using AI.
Can the system identify persons and vehicles?
Yes. Participants are tasked with developing AI solutions capable of identifying persons, vehicles, and events of interest.
Will government databases be integrated with CCTV feeds?
The challenge specifically calls for solutions capable of cross-referencing live video feeds with government databases.
Are real-time alerts part of the challenge?
Yes. Solutions should have the potential to generate real-time alerts that can support faster and smarter law enforcement operations.
Does the challenge focus only on prototypes?
No. The challenge emphasises production-ready technologies with potential for real-world deployment at scale.
Can established technology companies participate?
Yes. Established technology enterprises and system integrators specialising in areas such as AI, computer vision, or security are eligible.
Conclusion
The Gujarat Police Hackathon Innovation Challenge provides students, researchers, startups, technology professionals, and industry organisations across India with an opportunity to develop innovative solutions for real-world law enforcement needs.
With a ₹51 lakh total prize pool and a strong focus on AI-powered CCTV integration, computer vision, video analytics, government database integration, and real-time alerts, the challenge aims to move beyond experimental concepts toward technologies that can be deployed at scale.
By combining India’s technology talent with the operational needs of the Gujarat Police, the initiative seeks to advance next-generation public-safety solutions and make law enforcement faster, smarter, and more technology-driven.
For more information, visit Government of Gujarat.