Bharat in Betastartup field guide
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No. 1363Problem statementEducation and work

Challenges in aligning skill development programs with industry requirements and emerging job market demands

Source

Source summary

Build labour-market intelligence continuously translating industry demand into skilling curricula and capacity plans. Combine vacancies, employer surveys/consultations, sector trends and placement outcomes by role, skill, location and proficiency. Map gaps to courses/qualifications, recommend revisions, flag obsolete or oversupplied training and seek employer validation. Produce district plans addressing equipment, trainers and candidate guidance; employment gains are evaluation objectives.

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.