Bharat in Betastartup field guide
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No. 713Problem statementEducation and work

Augmented Reality (AR) for remote visual assistance and pre-flight check inspection automatic defect detection predictive maintenance tool for Do-228 aircraft

Source

Source summary

For the Do-228 aircraft, provide real-time augmented-reality and remote-expert guidance for maintenance personnel, combined with AI-assisted pre-flight visual checks. The source explicitly names crack and corrosion detection and visual predictive maintenance. It provides no demonstrated detection accuracy.

No. 392Problem statementEducation and work

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

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.