Bharat in Betastartup field guide
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No. 1176Problem statementEducation and work

AI driven Inspection of Institutions

Source

Source summary

Create an AI-supported inspection system for educational institutions covering facilities, faculty qualifications, student outcomes and regulatory compliance. The proposed approach combines image-based facility assessment, natural-language analysis of reports and qualifications, continuous data collection and machine-learning identification of patterns or possible issues. Inspectors should receive reports and improvement suggestions to support their decisions. The stated gains in consistency, accuracy and efficiency are objectives, not demonstrated results.

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.