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International Journal of Advanced Research in Computer and Communication Engineering
International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2278-1021ISSN Print 2319-5940Since 2012
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← Back to VOLUME 15, ISSUE 5, MAY 2026

AI BASED INTELLIGENT MOVIE PRODUCTION AND SCRIPT GENERATOR

Dr. Samuel Chellathurai A Ph.D., Shyamvijay H, Vetrivel R

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Abstract: This paper presents an AI-based professional screenplay generation and production planning system for the Indian film industry, supporting multiple regional languages. The proposed system integrates Large Language Models (LLMs), multi-API fallback mechanisms, and computational production analytics to assist filmmakers, screenwriters, and producers in creating industry-ready scripts and associated production blueprints at zero cost. The system captures user inputs such as film industry (Kollywood, Tollywood, Bollywood, etc.), genre, language (English, Tamil, Telugu, Malayalam, Kannada, Hindi), scale, and protagonist type. Using a resilient chain of free AI services (Sarvam, Krutrim, OpenRouter) with local fallback, the system generates structurally correct screenplays including scene headings, action lines, character names, parentheticals, and dialogues in the chosen language with English-letter transliteration for Dravidian languages. The generated screenplay is then automatically analyzed using script analysis algorithms to extract total scenes, character count, unique locations, action sequences, and complexity level. Based on this analysis, the system computes a professional production plan including pre-production, principal photography, post-production, and marketing timelines, a detailed budget in Indian Rupees with industry-specific multipliers, crew size and department breakdown, equipment logistics, location scouting checklists, and a director’s educational guide. Experimental results demonstrate that the multi-API fallback chain achieves 100% service availability, generating complete feature-length screenplays (35–65 scenes) within 120 seconds on average. Behavioural validation on language adherence shows 94.8% compliance with regional language prompts. Budget estimation error against real Indian film production benchmarks is within Β±12% for medium-complexity projects. The proposed framework reduces screenplay writing effort, democratizes production planning for independent filmmakers, and provides an educational tool for aspiring directors and producers in Indian cinema.

Keywords: Screenplay generation, production planning, Indian cinema, large language models, multi-API fallback, script analysis, budget estimation, Kollywood, Tollywood, Bollywood.

How to Cite:

[1] Dr. Samuel Chellathurai A Ph.D., Shyamvijay H, Vetrivel R, β€œAI BASED INTELLIGENT MOVIE PRODUCTION AND SCRIPT GENERATOR,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2026.155203

Creative Commons License This work is licensed under a Creative Commons Attribution 4.0 International License.