Chronicle - AI in Media and Content Creation using NLP - GRV Business Management Academy, Bangalore

Chronicle - AI in Media and Content Creation using NLP

17 September 2025

Natural Language Processing (NLP) is transforming the way stories and media content are created. As part of the Chronicle event, students presented story-based videos using AI tools. They applied text-to-voice for narration, text-to-image for visuals, and text-to-video for complete story-lines. These tools turned simple text into interactive multimedia experiences. The projects highlighted the real-world impact of AI in making storytelling engaging and innovative.

Category	Tool Name	Usage	Link
Text-to-Voice	Murf AI	Create natural-sounding AI voiceovers for narration	murf.ai
	Play.ht	Convert text into realistic speech with multiple accents	play.ht
	ElevenLabs	Advanced voice cloning and storytelling voices	elevenlabs.io
	Speechify	Read text aloud for narration and accessibility	speechify.com
Text-to-Image	DALL·E 3	Generate creative images from text prompts	openai.com/dall-e
	Stable Diffusion	Open-source tool for customizable image generation	stability.ai
	MidJourney	Artistic and high-quality image creation	midjourney.com
	Canva AI	Simple text-to-image for presentations and visuals	canva.com
Text-to-Video	Pictory AI	Turn scripts or blogs into short videos	pictory.ai
	Synthesia	AI avatars and voiceovers for video creation	synthesia.io
	Runway Gen-2	Generate realistic videos directly from text	runwayml.com
	Lumen5	Convert text or blog posts into engaging videos	lumen5.com
Story/Script Writing	ChatGPT	Generate storylines, dialogues, and scripts	chat.openai.com
	Google Gemini	Research and summarize topics for content	gemini.google.com
	Jasper AI	Creative story writing and content generation	jasper.ai
	Copy.ai	Quick ideas, captions, and story outlines	copy.ai

Here are step-by-step points:

Introduction - Start by mentioning NLP and how it is changing the way media and stories are created.
Event Context - State that it was part of the Chronicle event where students showcased their work.
Text-to-Voice - Explain how students used text-to-voice for narrations.
Text-to-Image - Describe how text-to-image tools generated visuals for their stories.
Text-to-Video - Highlight the use of text-to-video to bring story-lines to life.
Impact - Show how these tools transformed simple text into dynamic multimedia content.
Creativity + Technology - Emphasize that students combined creativity with NLP concepts.

Conclusion - End with the impact: their projects became engaging, interactive, and demonstrated the power of AI in storytelling.

Back