Advanced Artificial Intelligence & Machine Learning - NLP & Classification
We would like a group of students to utilize our dataset and feature set, apply semi-supervised and supervised machine learning techniques, such as language based transformer models, embedding and clustering techniques, etc., in order to create: A series of trained models that can label raw text according to our feature set in order to create a labeled training dataset. A series of classification models trained on the labeled dataset created in the previous objective. This will involve: Conducting background research on our existing product, our dataset and our feature set. Conducting research into the latest AI and ML techniques and how they could be applied to our data and feature set. Developing ML / AI models that can meet the functions stated above with a high degree of accuracy .
Marketing Strategy Plan
We want students to help us build a marketing strategy plan to grow and engage our target market: people who are experiencing conflict and misunderstandings in family and romantic relationships. We’d like to know how we can maximize use of different channels and get recommendations to improve our messaging. The main questions we’d like students to help us answer are the following: How does our target market perceive our brand and marketing, based on publicly available information about our company? What channels should we utilize for promotion, including ones we are not currently using? What budget is appropriate for advertising, given our goals? How could our messaging be updated to better explain our value proposition? What are examples of engaging content for the recommended channels?
Mobile App Development
Our company would like to explore a software update to our mobile app. We would like a group of students to design and implement new features to our current mobile app. This will involve: Conducting background research on our existing product. Creating and implementing a defined list of new features into the existing product, such as user matching. Conducting testing with real potential users, whether in-person or through survey services.