Begins on 10th September 2024. Participants can register individually or in teams of up to two members. During registration, Applicants to share a video of racing through a track on Uncrashed FPV simulator (available on steam simulator).

The Grand Finale will be a 36 hours in-person event, where the selected top 15 participants will be invited. For the drone race event, visual inspectors equipped with flags will be stationed at each checkpoint to ensure no checkpoints are missed by the pilots. Safety nets will be provided for the checkpoint inspectors to ensure their protection. Shortlisted pilots will compete ingroups of three, with the number of groups determined based on the total number of pilots. The winning pilot from each group will advance to the next round, and pilots in subsequent rounds will be grouped according to their lap times.

● During the registration phase, participants are required to provide basic and professional details 
● Participants are required to share their Cybersecurity profiles, such as their work experience and educational background, to showcase their skill set 
● They are also encouraged to provide links to any special certifications or badges they have earned in the field of cybersecurity to further highlight their expertise.

● It will be a short Jeopardy style Capture the Flag (CTF) event.  
● Participants will be provided with puzzles/programs containing security vulnerabilities. 
● Each puzzle has a secret key called a 'flag' embedded within it. Finding
the flag proves that participants have solved the particular challenge, and submitting the flag earns points. 
● Each problem statement has its own points, which depend on the difficulty of the problem.  
● The scoring procedure depends on how many points participants have earned and how much time they have taken to submit the flags.

● The Grand Finale will be a 36-hour in-person event. 
● The top 15 individual participants, selected from the screening round, will be invited to compete.
● During this phase, participants will tackle advanced challenges across multiple categories. The event will test their technical expertise, problem-solving abilities, and endurance, as they work to solve complex problems.
● This final round will determine the ultimate winners, showcasing the best talent in a highly competitive environment.

● Accuracy: Maintain a high detection accuracy rate across various
media formats (video, audio, and pictures).
● Speed: Ensure that the system can process and analyze media content
rapidly and with low latency.

● User Interface: Create an easy-to-use interface for cybersecurity
professionals, content moderators, and law enforcement.

● Reporting: When a deepfake is found, send detailed reports or alerts
that include confidence scores and the nature of the manipulation.

● Registration:  Begins on September 10th 2024. Participants can register individually or in teams of up to two members. Teams must submit a Proof of Concept (PoC) and a brief description of their solution during registration.

● Final Round: A 36-hour event where participants will develop a working
prototype based on their data-driven solution. The prototypes will be
presented to a jury, including a live demonstration and a detailed
PowerPoint presentation.   Solutions will be evaluated on innovation,
feasibility, scalability, and impact on defence operations.

The Grand Finale will be a 36 hours in-person event, where the selected top 15 participants will be invited. Create a reliable method for detecting and mitigating the impact of deepfake
content in real time. The solution should focus on detecting deepfakes in videos, pictures, and audio data, with potential applications in cybersecurity, public safety, and digital forensics. The system should be capable of:


● Detection: Use advanced AI and machine learning methods to detect
deepfakes with high accuracy while reducing false positives and
negatives.

● Real-time Analysis: Process and analyze media information in real or near real time to ensure early detection of deepfakes, particularly in key
settings such as live news broadcasts or social media platforms.

● Mitigation: Create ways to reduce the impact of recognized deepfakes,
such as watermarking legitimate content, notifying users or platforms,
and giving verifiable evidence to dispute bogus information.

● Scalability and Efficiency: Make sure the solution is scalable and can
be integrated into several platforms (social media, news outlets, and
government organizations) without sacrificing performance.

● Ethical considerations: Address ethical concerns about privacy, data
consumption, and the possible misuse of the detection system. The
solution should also follow legal guidelines and be flexible to changing
requirements.