Apply Now: Gujarat Police Hackathon Innovation Challenge 2026 (India)

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 inte