Indian Students Win Gold with AI That Turns English into PLC Code

A student team from Sona College of Technology has won the Gold Cup at the Mitsubishi Electric Cup for developing an AI platform that simplifies industrial PLC programming. Their system allows users to describe machine control logic in plain English, which is then automatically converted into executable Structured Text code for PLCs. The innovation was demonstrated on a fully operational Automated Dip Dyeing Machine, validated by a jury of automation experts. The team will now represent India at the global Mitsubishi Electric Factory Automation competition in 2026.

Key Points: Indian Students' AI Simplifies PLC Programming, Wins Gold

  • AI converts natural language to PLC code
  • Powers operational dyeing machine
  • Selected from 300 national entries
  • Wins Rs 1 lakh prize
  • Advances to global 2026 competition
2 min read

Indian students develop award winning AI platform that simplifies industrial PLC programming

Team Nexus AI wins Mitsubishi Electric Cup with a platform that converts natural language into industrial control code for PLCs, securing a global competition spot.

"The research orientation of our faculty is fuelling innovation built on strong fundamentals. - Chocko Valliappa"

New Delhi, March 7

A team of Indian students, which developed an artificial intelligence-based platform that simplifies industrial programmable Logic Controller programming, has won the Gold Cup at the Mitsubishi Electric Cup.

Team Nexus AI developed a system that allows users to describe machine control logic in natural language, which is then automatically converted into Structured Text code - a modern alternative to conventional ladder logic programming.

Over months of development, the students built a robust AI platform capable of generating executable control programs for Mitsubishi Electric IQ-F (FX5U) PLCs.

The innovation was validated through a fully operational Automated Dip Dyeing Machine, powered entirely by AI-generated control code produced by the Nexus AI platform and executed using Mitsubishi Electric industrial automation hardware including PLCs, HMIs, servo motors and FA components.

At the final round held at the MIT Pune campus, the system underwent intensive evaluation by an eight-member jury comprising automation programmers, ladder-logic specialists and Mitsubishi Electric R&D engineers. The jury examined the platform's architecture, logic integrity, safety framework and scalability, according to a statement.

Senior leadership including Atsushi Takase, Managing Director, Mitsubishi Electric India, interacted extensively with the team, expressing interest in potential future collaboration.

Team Nexus AI from Sona College of Technology in Tamil Nadu will now represent Mitsubishi Electric India at the Global Mitsubishi Electric Factory Automation (MECA) Competition, scheduled for September 2026.

Team Nexus AI was selected from nearly 300 national entries in the Mitsubishi Electric competition and underwent multiple stages of technical evaluation supported by Mitsubishi Electric mentors and trainers. It was declared Gold Cup Winner, receiving a Rs 1,00,000 cash prize, following nearly 150 days of intensive development alongside their studies.

"The research orientation of our faculty is fuelling innovation built on strong fundamentals. This is the third national industry competition won by Sona student teams in recent months - after Capgemini and Google Gemini - reflecting the focused mentoring ecosystem at the institution," said Chocko Valliappa, Vice Chairman, Sona College of Technology.

- IANS

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Reader Comments

S
Sarah B
As someone who works in industrial automation, I can see the immense potential here. Converting natural language to Structured Text could drastically reduce training time and errors. Hope this gets the commercial support it deserves.
P
Priya S
Sona College is on a roll! Third national win in recent months. This shows what's possible when institutions focus on practical, industry-relevant projects instead of just theory. Kudos to the faculty and students! 👏
R
Rohit P
While this is a great achievement, I hope the focus remains on building a robust, safe, and scalable product. Industrial control systems can't afford bugs. The real test will be adoption in actual factories with diverse requirements.
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Karthik V
This is the kind of innovation that can boost 'Make in India'. Simplifying automation will help our MSMEs become more competitive. The Rs 1 lakh prize is nice, but the potential collaboration with Mitsubishi is the real win.
M
Michael C
Impressive work balancing studies with 150 days of intensive development. The validation on an actual dyeing machine shows they've moved beyond a classroom project. Looking forward to seeing this platform evolve.

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