Bharat in Betastartup field guide
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No. 392Problem statementEducation and work

Development of artificial intelligence based training modules for technicians for operation and maintenance of su – 30 MKI aircraft

Source

Source summary

Develop AI and VR/AR training for Su-30 technicians covering equipment faults and corrective actions. The source specifies three levels: system basics with 3D models, known scenarios/responses, and randomly generated scenarios with response analysis. It is structured technical training, not just a library of videos.

No. 505Problem statementEducation and work

Cyber security and cyber investigation training courseware

Develop current, India-specific cyber-security and cyber-investigation courseware for State and Union Territory police, delivered through a scalable browser-based cloud platform with hands-on attack, defence and investigation labs. The source names forensics, logs, blockchain and cryptocurrency, cloud, API and IoT investigation, ransomware, SIEM, vulnerability testing, compromise assessment and first response.

No. 535Problem statementEducation and work

Artificial Intelligence for Human Resource Management

The Indian Air Force asks for a modular AI system to plan officer postings by balancing organisational needs with qualifications, tenure, performance, preferences, career progression, policies and regulations. It should automate data processing, present transparent recommendations and dashboards, show the effect of a movement on other locations, and support implementation and evaluation. Development must be possible with dummy data, and the source frames the system as decision support for a process currently described as manual and subjective.

No. 672Problem statementEducation and work

Virtual Walkthrough Model for P-75 Submarines

Create an Interactive Virtual Walkthrough Trainer for Kalvari-class P-75 submarines, replicating external areas, compartment layouts and equipment in a navigable 3D/VR environment. Trainees should use screens or VR/AR devices to learn equipment locations and try limited interactions, such as opening hatches or using control panels with simulated indications. The aim is familiarisation and spatial awareness while reducing dependence on real vessels during initial training.