Back to Catalog
154 of 226
PS 26154SOFTWARESmart AutomationFast Prototype (36h)

Gen AI Platform for Automated Content Transformation

National Technical Research Organisation (NTRO)National Technical Research Organisation (NTRO)
Google Search
30-Second Plain English Summary

Intelligence analysts and defense officers at NTRO handle massive volumes of heterogeneous unstructured intelligence (multilingual PDF doctrine manuals, intercepted audio transcripts, scanned tactical maps, structured tabular databases) that require rapid transformation into standardized formats (intelligence briefings, JSON knowledge graphs, executive slide decks, target profiles). Build an Enterprise Generative AI Platform for Automated Multi-Format Content Transformation for NTRO featuring local air-gapped multimodal LLMs, document layout preservation, and schema-guided structured extraction.

5-Dimension Strategic ScorecardOverall Score: 4 / 5.0
Innovation
4.2 / 5
36h Feasibility
4.3 / 5
Uniqueness
3.9 / 5
Jury Appeal
3.9 / 5
Tech Depth
3.9 / 5
Recommended System Architecture Pipeline
Unstructured Multi-Format Inputs -> Multimodal Parser (OCR/Whisper) -> Air-Gapped vLLM Engine (Llama-3/Qwen) -> Constrained Schema Decoding -> Output Document Builders (PDF/PPTX/JSON)
Recommended Tech StackClick to search similar
Official Government Problem Description
• Background Organisations frequently need to convert information available in different forms such as news articles, reports, advisories, threat intelligence, policy documents, research papers, announcements, incident reports or free-form prompts into specific communication artefacts suitable for various purposes. The process of manually analysing the source content, understanding the desired objective and creating the required output format is time-consuming, resource-intensive and often requires expertise in content creation, communication and domain knowledge. There is a need for an intelligent platform that can transform user-provided content into a desired output format through a simple and configurable interface. • Description The system shall act as an AI-powered content transformation engine that converts a common source of information into the specific deliverable requested by the operator, thereby reducing manual effort, improving consistency, accelerating content creation and enhancing operational efficiency. The platform shall provide a dashboard through which an operator can submit source content in the form of high quality English language text, documents, articles, reports, prompts, images, videos or contextual information. In addition to providing the source content, the operator shall select one or more desired output types through configurable parameters available on the dashboard. Based on the submitted content and the selected output type(s), the platform shall analyze the input, understand the context and intent, and generate the requested output artefact. The platform should support multiple output formats and allow operators to control generation parameters such as target audience, tone, language, level of detail, communication objective and content style. In summary, platform shall generate output corresponding to the option(s) selected by the operator on the dashboard. • Examples include • If 'Video' is selected, generate a complete video package including script, storyboard, scene descriptions, narration text, subtitles and visual recommendations. • If 'LinkedIn Post' is selected, generate a professional LinkedIn post suitable for publication. • If 'Twitter/X Post' is selected, generate platform-optimized tweets or tweet threads. • If 'Advisory' is selected, generate a structured advisory document. • If 'Infographic' is selected, generate infographic content, layout recommendations and key messaging. • If 'Executive Summary' is selected, generate a concise executive briefing. • If 'Presentation' is selected, generate presentation slides and speaker notes. • If multiple output formats are selected, generate all selected deliverables from the same source content. • Expected Solution/Deliverables for Evaluation • Source Code Link (GitHub/Drive Link) • Readme with Setup Instructions • Architecture Document (Max 2 Pages) • Demo Video (Max 2 Minutes) • Technical Presentation (Max 5 Slides)
AI & PPT Citation Format

Smart India Hackathon 2026 Problem Statement PS-26154: "Gen AI Platform for Automated Content Transformation", Ministry: National Technical Research Organisation (NTRO). Strategy & Architecture via SIH ONE (https://sihone.pages.dev/ps/26154)

Related Problem Statements in Smart Automation