Bharat in Betastartup field guide
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No. 1330Problem statementEducation and work

Develop an AI enabled learning platform that identifies competency gaps, recommends personalized training through integration with the iGOT Karmayogi ecosystem, and capable of generating Quizzes and Multiple choice questions (MCQs) from uploaded learning materials to strengthen capacity building in India's Official Statistical System.

Source

Source summary

The proposed learning platform serves officials in India's statistical system by mapping job profiles and competency gaps to iGOT Karmayogi and NSSTA TPAC training. Statistical, technical, governance and managerial competencies should inform adaptive recommendations and progress tracking. It also requests MCQs/quizzes from uploaded documents, presentations or videos with explanations and feedback. API integration, learner/admin dashboards, multilingual support, role access and SSO are included; generated assessments require quality evaluation.

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.