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Project Title Developer Needed to Improve AI History Video Generation App + Add Musa TTS Audio API Integration Project Description I already have an AI-powered history video generation app built using Google AI Studio / AI workflow. The app generates history-style videos using scripts, visual descriptions, images/assets, and narration. I am looking for an experienced developer who can fix current issues, improve the video generation workflow, integrate my custom audio generation API, and align the final video output with a reference YouTube video style. Reference video style: [login to view URL] The goal is not to rebuild everything from scratch unless absolutely required. I want the existing app to be improved, optimized, and upgraded so it can produce better historical documentary-style videos. Main Problems to Fix • The images/assets fetched by the app are not accurately matching the visual descriptions. • Some visuals are not historically accurate or relevant to the scene. • The app needs better prompt logic for converting script scenes into accurate visual search/image generation descriptions. • The final video style needs to feel closer to the reference. • Some fetched videos are not loaded successfully Required Work • Review/audit the current AI video generation app and identify what needs to be fixed. • Improve the image/asset fetching system so visuals match the scene description more accurately. • Improve historical accuracy of the selected images and visual assets. • Add more free sources/APIs for historical stock assets, public domain images, museum/archive images, and historical visuals. • Improve the prompt workflow for scene-by-scene visual generation. • Help align the video output with the reference YouTube style, including: o documentary-style pacing o historical mood and atmosphere o better scene-to-image matching o smooth flow from script to visuals o suitable narration timing o more professional history-video structure • Integrate my own audio generation tool called Musa TTS. • Musa TTS already has: o cloned voice o local server o API key • Set up ngrok so the local Musa TTS server can be accessed by the Google AI Studio / AI video generation app. • Connect the app to the Musa TTS API using API key authentication. • Make sure narration/audio generation works automatically inside the video generation pipeline. • Test the full workflow: o script generation o scene splitting o visual description generation o accurate historical image/asset fetching o Musa TTS voice generation o final video assembly/export • Fix bugs related to APIs, image fetching, prompts, audio generation, or app workflow. Reference Style Requirement I will provide a reference YouTube video/channel style. I want the app output to be inspired by that style and improved in that direction. The developer should analyze the reference and help make the app generate videos with a similar video editing style. The final output should feel polished, cinematic, and suitable for history storytelling content. Developer Requirements • Experience with AI apps and API integrations. • Experience with Google AI Studio / Gemini API or similar AI tools. • Experience with backend API connections. • Experience with local server to cloud connection using ngrok. • Experience with API key authentication and secure endpoint setup. • Experience with image search APIs, stock asset APIs, or public domain image sources. • Ability to debug existing apps instead of only building from scratch. • Understanding of AI video generation workflows. • Bonus if you have experience with: o TTS systems o voice cloning tools o AI documentary/history video tools o public domain archive/museum image APIs o video automation pipelines Final Goal The final goal is to make my AI history video generation app produce more accurate, professional, documentary-style historical videos with better visuals and high-quality cloned voice narration using Musa TTS.
Project ID: 40512965
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