The main goal of a mental health startup's machine learning project could be to develop innovative solutions that enhance mental health services or support. Here are some potential project goals and tasks that machine learning interns might need to complete:

1. Natural Language Processing (NLP): Implement NLP techniques to develop a chatbot capable of understanding and responding to users' mental health concerns.
2. Emotion Recognition: Integrate emotion recognition models to enhance the chatbot's ability to understand and respond appropriately to user emotions.
3. Continuous Learning: Develop mechanisms for the chatbot to learn and improve its responses over time based on user interactions.

Access to all available data and systems, mentorship time with our engineering team, support with key metrics and performance indicators, and overall supervision

[EMPLOYERS: what can you offer the learning coming in to complete this project? Please add as much detail as possible including the types of mentorship, instruction, materials, training etc that will be available to them]