Expert Needed: Predicting YouTube Video Success with Multimodal AI
Budget: ₹1,500 – ₹12,500 INR
We need a skilled data scientist or AI/ML developer to develop a model predicting YouTube video success using multimodal AI. The project involves analyzing video content, audio, and textual data (titles, descriptions, comments).
Responsibilities:
- Research existing literature on multimodal AI and video popularity prediction.
- Design and implement a multimodal AI model integrating visual, audio, and textual data.
- Use techniques such as CLIP, BERT, and frameworks like TensorFlow or PyTorch.
- Perform data preprocessing and feature extraction from YouTube metadata.
- Train and evaluate the model using relevant datasets.
- Document the methodology, experiments, and results.
Deliverables:
- A functional multimodal AI model for predicting YouTube video success.
- A detailed report on methodology, and results.
- Source code and documentation for the model.
Responsibilities:
- Research existing literature on multimodal AI and video popularity prediction.
- Design and implement a multimodal AI model integrating visual, audio, and textual data.
- Use techniques such as CLIP, BERT, and frameworks like TensorFlow or PyTorch.
- Perform data preprocessing and feature extraction from YouTube metadata.
- Train and evaluate the model using relevant datasets.
- Document the methodology, experiments, and results.
Deliverables:
- A functional multimodal AI model for predicting YouTube video success.
- A detailed report on methodology, and results.
- Source code and documentation for the model.