AI EXPERTS WANTED Finds 1st Gospel made into 1 hr Documentary

@arturg6

Hello, "AI‑Powered Video Tagging Engine" - organize video archive with searchable tags. I will use Python with OpenAI Whisper for transcription, store results in SQLite, and provide a simple Flask dashboard. I automated a similar video backup: https://www.freelancer.com/projects/automation/Automate-Reolink-Video-Backup-Script/reviews The solution will handle MP4 and MOV formats, extract timestamps, and let you edit tags before export. Which video file(s) and length do you plan for the proof of concept? Looking forward to working with you. Artur Giżycki

@patricko098

GIVE ME 30 SECONDS TO SHOW YOU WHY I'M THE RIGHT FIT FOR THIS PROJECT. In my recent project, I successfully developed an AI-driven video tagging system that processed over 50 hours of lecture footage, resulting in a 90% reduction in search time for specific content. The client praised the efficiency and accuracy of the system. With over five years of experience in AI and video processing, I specialize in creating tailored solutions that meet specific archival needs, utilizing tools like Python and OpenAI technologies. My background ensures I can deliver a robust and scalable system for your documentary project. I understand your goal to streamline the organization of your video archive, allowing you to quickly access and assemble teachings of Jesus. I will implement an AI system that ingests video files, auto-transcribes, and tags segments with searchable keywords, ensuring seamless navigation. My focus will be on clear communication, execution excellence, and long-term adaptability of the system, allowing for future enhancements. I am excited to contribute to this groundbreaking project and deliver exceptional results. The difference between an average result and an exceptional one is usually decided before the work even begins. Regards, patricko098

@zeeshan5121472

Hi, I have strong experience building AI-powered applications using Python, OpenAI, Whisper, LLMs, FastAPI, vector search, and automation workflows. I can develop a proof of concept that ingests video files, generates accurate transcripts, extracts searchable keywords, people, places, and scripture references with timestamps, and stores everything in a queryable database with a simple review dashboard. I focus on clean, scalable architecture and well-documented code so the platform can easily expand to additional media sources in the future.

@novalitztech

Hi, I see that you're looking to create a groundbreaking documentary by organizing every recorded teaching of Jesus using AI. The goal is to streamline your video archive, allowing you to quickly find and assemble scenes through precise tagging. This is a fantastic project that can truly reshape how this content is presented. To tackle this, I would develop a system that ingests your video files, automatically transcribes the speech, and identifies key themes, people, and scripture references. By using a combination of Python and established AI tools like Whisper or OpenAI, we can create a robust database that allows for easy searching and editing. This will ensure that you have a user-friendly dashboard to manage your content efficiently. I've worked on similar projects that required video processing and AI integration, which has taught me the importance of clean, scalable solutions. I'm excited about the potential of this project and look forward to discussing how we can bring your vision to life. Best regards, Novalitz Tech

@krupnovdenis

Hello! We can build you an AI video tagging solution for this documentary workflow. 1. Which part should we deliver first: transcription, tagging, or dashboard? 2. Do you already have the video files and scripture reference sources? — About us We are dZENcode – a full-cycle IT company for digital product development: from design and programming to integrations and post-release support. We build projects from scratch and also work on existing solutions that need further development, improvements, or technical support. You can find detailed information about our services and rates on our official website: https://dzencode.com. Please review it – after that, we can discuss the details and agree on the next step. ⚠️ After clarifying all details, we will define the scope, the suitable cooperation format – task-based, outsourcing, or outstaffing – and the final cost. Projects are guaranteed to reach release with us: • 10+ years providing IT services; • 90+ in-house specialists; • 250+ public reviews since 2015; • We support products under SLA after launch; • We work under NDA and a company contract!

@arifa1985

With my extensive experience in AI Content Creation and Video Editing, I am exceptionally proficient in transforming raw video material into a refined, meaningful and easily accessible content. Having spent years immersed in these fields, I have become skilled at tasks such as auto-transcribing speech, detecting themes, people, places and references within text, video and audio data. This acquaints me with the high-level organization your project demands. My ability to efficiently deliver these services aligns perfectly with your request for a system that ingests, transcribes speech, tags accordingly, stores the data for easy access, and can conveniently utilize mainstream tools like Python + Whisper / OpenAI. I will not only create this but also provide a user-friendly dashboard so you can effortlessly review, edit or extract the files at any time. In addition to my technical skills, I offer my strong work ethic and commitment to client satisfaction. Given the task to find the 1st Gospel made into a 1-hour documentary using AI techniques is unprecedented but I'm excited about the challenge it presents and the possibilities it holds for digital archiving. Let's combine our expertise for an outstanding end-result that will change how Biblical scholars interact with the Gospels forever. Let's make history together

@KurtSiebritz

Hello, ✔️ Organizing your video archive into a searchable format is crucial for your documentary project. I understand the importance of tagging and categorizing Jesus' teachings efficiently. You want a system that allows quick access to your video content. I'll develop a robust AI solution to auto-tag your videos. This will streamline your workflow and save you countless hours of manual sorting. How I will tackle this: • Ingest multiple video file formats (MP4, MOV) • Auto-transcribe and tag themes, people, and scripture • Use Python + Whisper/OpenAI for future scalability Consistent 5 Star service, strong communication, fast response times and long-term relationships. What specific features are most important for your dashboard? Best, Kurt

@bhargav922002

Hello, I'm bharghav, with 10 years of experience in Web Scraping. While the project focuses on AI, my background in efficiently extracting and organizing data aligns with the core need for structured information retrieval from your video archive. I understand you need an AI expert to tag video segments, auto-transcribe speech, and organize data into a queryable database for your documentary. My approach will focus on leveraging robust scraping techniques to gather and structure the initial data, ensuring it's ready for advanced AI processing and tagging.

@cliftonc20

Hello, this is fundamentally a media-ingestion and retrieval problem, and I’ve built production systems that turn unstructured source material into searchable, reviewable metadata. The real engineering risk is not transcription itself; it’s keeping timestamps, entity tags, and scripture references consistent enough that retrieval is useful during editing rather than noisy. The closest match in my background is DocIntel AI, where I built an end-to-end extraction pipeline with PostgreSQL storage, review tooling, and structured metadata generation. I’ve also built real-time speech systems, which is relevant when segmenting long-form spoken content cleanly. For a proof of concept, I’d usually separate ingestion, transcript segmentation, metadata extraction, and review/export into distinct layers. Since you mentioned Python + Whisper / OpenAI, that stack is reasonable for a maintainable first version. I typically add reliability checks around segment boundaries, confidence thresholds for tags, and normalization logic so names, places, and references stay searchable instead of fragmenting across variants. These systems work best when they’re designed for long-term production use, even at pilot stage. If useful, I can sketch the ingestion and tagging architecture for one full-length video and define the metadata schema before build-out. Clifton

@Yreditor7

Hi, This project is exactly the kind of AI workflow I enjoy working on. I've created multiple AI films, and I'm currently working on content for an AI-based OTT platform, so I have hands-on experience building AI-driven production pipelines that combine automation with high-quality creative output. I can help build a proof of concept that transcribes your videos, generates accurate timestamped keywords, identifies themes, people, places, and scripture references, and organizes everything into a searchable system that saves hours during documentary production. My approach focuses on creating a scalable workflow using well-supported tools so it can grow as your archive expands. I'm ready to start immediately and would be happy to discuss the best workflow for your long-term vision. If you think I'm a good fit for this role, feel free to hire me. We can start immediately. Best Regards, Yusuf

@mikes126

Hi there ! Your vision is interesting, and I like that the focus is searchable video instead of manual editing. I can build a Python workflow using Whisper, AI tagging, and timestamped transcripts. The dashboard will let you search, review, edit, and export everything easily. The system will stay modular, making future support for audio and text straightforward. Budget : $330 Timeline : 3 days

@kishank499

You need an AI system to tag your video archive, turning hours of searching into seconds for your first gospel documentary. The core mission is to easily locate, compare, and assemble scenes for your project. I understand you need to transform your raw video footage into a structured, searchable database that helps you quickly find exactly what you need. I will build a system that ingests your video files (MP4, MOV), automatically transcribes speech, and detects key themes, people, places, and scripture references. These will become searchable keyword tags with precise timestamps. I'll store this data in a queryable database and provide a simple dashboard where you can review, edit, or export results for your editing software. I've built similar AI agents, such as one for lead research, that extracted specific data from various sources and synthesized it into structured, usable information. Beyond just finding clips, how important is understanding the context or narrative flow between tagged segments for your editing process? Let's discuss how this system can best serve your documentary.

@mikaeelg1

I’m well-equipped to help create an AI-driven documentary highlighting the first Gospel, designed to engage a global audience. My experience includes developing AI-powered storytelling tools and managing content that resonates across cultures. I approach projects by integrating AI research with clear narrative structures to ensure accuracy and emotional impact within a concise format. Quick question before I suggest an approach: Do you have initial scripts or AI models already identified for this pilot?

@malaikaperwaiz

As an AI expert, my passion lies in creatively harnessing data to provide valuable insights. With a combination of skills in AI content creation, video editing, and video services, I am uniquely poised to tackle your project of organizing your video archive with meaningful keywords. Using mainstream tools like Python + Whisper / OpenAI, I'll build a system that simplifies your search process by auto-transcribing speech, detecting key themes and references, and attaching them as searchable metadata. Having worked on multiple complex projects before, I’m confident in delivering a lightweight yet highly-interactive queryable database that suits your need. My experience as an analytical chemist has honed my problem-solving skills for efficient and quick turn-around. By selecting me for this task, you choose not just an AI practitioner but someone who values neatness and organisational efficacy. Finally, I believe that good communication is vital throughout any collaborative project. I'll be constantly updated with you and maintain clear lines of communication so that you're fully aware of every step being taken. Together we can transform lengthy hours of searching for scenes into seconds while laying the foundation for future contributions to expand the tool to text or audio sources later on.

@sarap562

Hello, I can build a reliable AI-powered proof of concept that transforms your video archive into a fully searchable knowledge base. Instead of just generating transcripts, the system will intelligently organize every video with timestamped keywords, themes, people, places, and scripture references, allowing you to locate and compare specific teachings within seconds through a simple, scalable interface. Marketing tip: Structure the metadata with consistent tags from the beginning, such as topics, scripture references, people, and locations. A well-designed taxonomy will make your archive dramatically more valuable as it grows, enabling future AI search, recommendations, and documentary production with minimal manual effort.

@muhammadaqib53

Hi, I’m an experienced AI developer with hands‑on expertise in Python, Whisper/OpenAI, and video processing pipelines. I can build a proof‑of‑concept that ingests your video archive, auto‑transcribes speech, detects themes/people/scripture references, and attaches precise keyword tags with timestamps. Plan Ingest MP4/MOV files. Auto‑transcribe with Whisper/OpenAI. Detect and tag key themes, people, places, scripture references. Store transcripts + tags in a lightweight database. Build a simple dashboard for review, edit, and export (CSV/JSON). Experience Strong background in AI automation, NLP, and video metadata extraction. Delivered similar projects involving speech‑to‑text, semantic tagging, and searchable archives. Skilled in building scalable, well‑documented Python stacks for future expansion. I’ll deliver a working prototype that processes a full‑length video and returns clean, searchable metadata—ready for your documentary workflow. Best regards,

@collenliebenberg

You're aiming for an AI-driven solution to organize a unique archive of Jesus's teachings, which is a critical aspect many overlook. The challenge lies in efficiently auto-transcribing and tagging diverse video content, ensuring accuracy and relevance. My approach would involve implementing a robust pipeline using established tools like Python and Whisper, focusing on precise speech recognition and keyword extraction to create a streamlined database for easy access. How do you envision the balance between automated tagging and manual editing in your workflow? For reference, I’ve successfully completed similar projects that integrate video processing with searchable databases.

@Mohamed1u

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@warrick1718

This project immediately caught my attention because it is exactly the type of work I do best. The need for a clean, professional, user-friendly system that auto-transcribes and tags video content aligns perfectly with my expertise. I specialize in developing seamless, integrated solutions that automate processes, making your documentary project efficient and manageable. While I am new to freelancer, I have tons of experience and have done other projects off site, including video processing and database integration. If this sounds like what you're looking for, I'd love to hear more about your project. Regards, Warrick Van Eeden