Jaipur Engineers

Gridlock Hackathon 2.0 Shows How AI Hackathons Can Solve Real-World Problems

33,600 participants created more than 1,100 AI and machine-learning prototypes for Bengaluru traffic and urban mobility challenges.

Flipkart announced the results of Gridlock Hackathon 2.0 on September 3, 2026. The challenge was conducted with Bengaluru Traffic Police and technology partners to explore AI and machine-learning solutions for traffic and urban mobility.

33,600 Participants and 1,100+ Prototypes

According to Flipkart, 33,600 participants from across India developed more than 1,100 AI and machine-learning prototypes using real-world Bengaluru traffic data.

Winning Solutions

  • Gridlock Oracle focused on predicting how traffic incidents could escalate.
  • PRAHAR focused on predictive traffic-resource allocation.
  • ParkSight focused on parking-related congestion.

Why Hackathons Matter

Hackathons give students and developers a fast environment to practice AI, Python, data science, APIs, cloud platforms, teamwork and product development. Real-world problem statements can also turn hackathon work into strong portfolio projects.