MVP of Song Customization Platform

Description

I am looking for an experienced developer (or development team) to build an A high-fidelity Minimum Viable Product (MVP) for Yitro Soundz, an innovative song customization platform designed for a global audience. This MVP is critical for pitching to angel investors, so it needs to be a polished, functional representation of the platform's potential.
Yitro Soundz will combine the best elements of competitors like Songfinch, SongOven, and Suno.ai, integrating AI-driven tools and natural singers into one powerful platform. Customers will be able to order name-swap songs, fully customized tracks, and choose between AI-generated or natural singer-produced songs. Additionally, it will include an archive of producer-uploaded beats and social/collaborative features inspired by BandLab.com.Project Overview:
The goal of this MVP is to showcase how Yitro Soundz allows customers to personalize songs quickly and efficiently. Users can choose between AI-generated vocalists or real singers to create name-swapped songs or fully customized tracks using an archive of producer-uploaded beats. The MVP will include core features that illustrate the platform's versatility, interactivity, and community-building capabilities.
Key Features for MVP: Song Browsing and Selection: A catalog of pre-produced beats and songs uploaded by producers, categorized by genre/artist. Preview option to help customers make their selection. Name-Swap Song Ordering: Quick customization where customers swap names into pre-recorded songs. AI-powered name insertion into lyrics or quick production by natural singers using pre-recorded vocals. Fully Customized Songs: A detailed personalization form for customers (name, lyrics, occasion). Option to choose between natural singers or AI-generated vocals for custom song production. Access to a library of producer-uploaded beats to form the basis of the song.
AI-Driven Personalization: AI tools to integrate customer names seamlessly into song lyrics and artwork. Automated name swapping in existing tracks, producing a professional-quality song in minutes. Natural Singer Integration: Streamlined process for natural singers to quickly record customizations using producer-uploaded beats. An order management system to notify singers when custom song orders are placed, enabling a quick turnaround.
Artist and Producer Platform (Inspired by SongOven): A section for artists and producers to upload their beats and track usage. Collaboration tools for artists and customers to refine and personalize songs.
Social and Creative Platform (BandLab-Like Features): User profiles for customers and artists to showcase and share their creations. Community section where users can share, like, comment, and collaborate on personalized songs. Basic editing tools for customers to make further song personalizations.
Order Submission: Simple and validated form submission for both name-swap and fully customized orders.
Backend Processing: Secure handling of user inputs, images, audio files, and AI integration for name-swapping and song customizations. Automated task assignment to natural singers for orders requiring human production.
Order Confirmation and Delivery: Automated email notifications for order confirmations and status updates. Provide downloadable links via email and on the platform for completed songs.
Assumed technical Requirements:
Frontend: Clean, intuitive UI/UX design using HTML, CSS, JavaScript, or React. Backend: Node.js, Django, or Flask for form handling, data processing, and AI integration. Database: Cloud-based databases (Firebase, MongoDB) for user data, song customizations, and artist-producer interactions. AI Integration: Integrate AI frameworks (OpenAI, TensorFlow) for name-swapping functionality and custom song production. Enable AI-driven tools for artists to modify lyrics, vocal effects, and enhance production. Storage: Use cloud storage solutions (AWS S3, Google Cloud) for handling images, audio files, and producer-uploaded beats. Email Integration: Utilize services like SendGrid or Mailgun for automated notifications.
Preferred Skills:
Proven experience in building AI-driven music platforms or similar applications. Understanding of community and collaboration tools for artists and customers. Strong grasp of data security, user-generated content handling, and multimedia file management. Excellent communication skills for ongoing updates and feedback.
Project Timeline: Expected timeline: 8 -10 weeks for MVP/prototype completion, including AI integration, natural singer workflow, and community features.