Distributed Information Systems Laboratory LSIR

DeepSuccess: Predict the Success of Tech Startups

Project Details

DeepSuccess: Predict the Success of Tech Startups

Laboratory : LSIR Semester Completed


The advances of Deep Learning in this decade, such as convolutional neural networks has been applied in many downstream classification and prediction tasks. In this project, we will develop a model for predicting the success of tech startups such as Initial Coin Offering (ICO) and kickstarter compaigns (e.g. crowdfunding). The observed data used for learning of a startup include its website, whitepaper, and codebase and can be extended to news and social media.

Potential resources: paper1, paper2

Deliverables: datasets, codebase, trained models, accuracy results, web or mobile app (OPTIONAL)

The project requires programming skills in Python, PyTorch (or Tensorflow, etc.). Competent knowledge and experience in Deep Learning. Pro-active in learning new things.

Contact: Nguyen Thanh Tam