Advanced AI Video Producer & Scheduler
Budget: $10 – $30 USD
Project Title
AI Video Scheduler & Auto-Posting App (Zeemo.ai Clone + Extra Features)
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Project Description
I want to build a web + mobile application similar to Zeemo.ai, but with an additional feature: auto video creation, scheduling, and posting for up to 6 months.
The goal is:
Users provide a list of video topics and a schedule (e.g., daily uploads for 6 months).
The system automatically generates scripts, creates videos (AI text-to-video with captions), and auto-posts them to connected social media platforms on the scheduled dates.
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Core Features
1. User Accounts & Authentication
Sign up/login (email + social logins).
User dashboard to manage credits, campaigns, and videos.
2. Campaign & Topic Scheduling
Users input topics manually or upload via CSV.
Define schedule (e.g., daily, weekly, or custom for up to 180 days).
Preview upcoming content.
3. AI-Powered Content Creation
AI generates video scripts based on user-provided topics.
AI text-to-video with faceless templates or stock visuals.
AI voiceover & captions/transcription (multi-language support).
4. Video Management
Auto-caption and transcript editor.
Option to edit videos before publishing.
Cloud storage of generated content.
5. Auto-Posting to Social Platforms
Integration with YouTube, TikTok, Instagram, Facebook, and X (Twitter).
Scheduling and auto-publishing (with OAuth + APIs).
Retry mechanism for failed posts.
6. Scheduler Engine
Ability to pre-generate a pool of videos in advance.
Automatic daily publishing from queue.
7. Billing & Credits
Subscription model with credits (like Zeemo.ai).
Admin dashboard to manage users, credits, and usage.
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Technical Requirements
Frontend: React / Next.js (web) + React Native or Flutter (mobile).
Backend: Node.js / Python (FastAPI/Django).
Database: PostgreSQL.
Queue System: Redis/RabbitMQ or AWS SQS.
Video AI Integration: Synthesia, Runway, or Pika API (developer must integrate at least one).
Speech-to-Text: AWS Transcribe / Google Speech-to-Text / Whisper API.
Storage: AWS S3 (or equivalent).
Deployment: AWS / GCP / Azure (scalable).
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Deliverables
Full working app (web + optional mobile MVP).
API integration with at least YouTube + TikTok (expandable later).
Admin dashboard for monitoring usage, jobs, and billing.
Documentation:
API & DB schema
Setup & deployment instructions
3 months support for bug fixing after delivery.
---
Skills Required
Full-stack development (React/Next.js, Node.js/Python, PostgreSQL).
Experience with AI video APIs (Synthesia, Runway, Pika, etc.).
Social media API integration (YouTube, TikTok, Instagram, Facebook, X).
Strong background in cloud architecture, queues, and schedulers.
AI Video Scheduler & Auto-Posting App (Zeemo.ai Clone + Extra Features)
---
Project Description
I want to build a web + mobile application similar to Zeemo.ai, but with an additional feature: auto video creation, scheduling, and posting for up to 6 months.
The goal is:
Users provide a list of video topics and a schedule (e.g., daily uploads for 6 months).
The system automatically generates scripts, creates videos (AI text-to-video with captions), and auto-posts them to connected social media platforms on the scheduled dates.
---
Core Features
1. User Accounts & Authentication
Sign up/login (email + social logins).
User dashboard to manage credits, campaigns, and videos.
2. Campaign & Topic Scheduling
Users input topics manually or upload via CSV.
Define schedule (e.g., daily, weekly, or custom for up to 180 days).
Preview upcoming content.
3. AI-Powered Content Creation
AI generates video scripts based on user-provided topics.
AI text-to-video with faceless templates or stock visuals.
AI voiceover & captions/transcription (multi-language support).
4. Video Management
Auto-caption and transcript editor.
Option to edit videos before publishing.
Cloud storage of generated content.
5. Auto-Posting to Social Platforms
Integration with YouTube, TikTok, Instagram, Facebook, and X (Twitter).
Scheduling and auto-publishing (with OAuth + APIs).
Retry mechanism for failed posts.
6. Scheduler Engine
Ability to pre-generate a pool of videos in advance.
Automatic daily publishing from queue.
7. Billing & Credits
Subscription model with credits (like Zeemo.ai).
Admin dashboard to manage users, credits, and usage.
---
Technical Requirements
Frontend: React / Next.js (web) + React Native or Flutter (mobile).
Backend: Node.js / Python (FastAPI/Django).
Database: PostgreSQL.
Queue System: Redis/RabbitMQ or AWS SQS.
Video AI Integration: Synthesia, Runway, or Pika API (developer must integrate at least one).
Speech-to-Text: AWS Transcribe / Google Speech-to-Text / Whisper API.
Storage: AWS S3 (or equivalent).
Deployment: AWS / GCP / Azure (scalable).
---
Deliverables
Full working app (web + optional mobile MVP).
API integration with at least YouTube + TikTok (expandable later).
Admin dashboard for monitoring usage, jobs, and billing.
Documentation:
API & DB schema
Setup & deployment instructions
3 months support for bug fixing after delivery.
---
Skills Required
Full-stack development (React/Next.js, Node.js/Python, PostgreSQL).
Experience with AI video APIs (Synthesia, Runway, Pika, etc.).
Social media API integration (YouTube, TikTok, Instagram, Facebook, X).
Strong background in cloud architecture, queues, and schedulers.