Lotus Addiction Therapy Inc. 30 Day Video Materials Project

The goal of this project is to create 30 days of video materials (10 minutes per session per day) on a specific addiction/mental health treatment (e.g. BiPolar Disorder, PTSD, Gambling Addiction, Sex Addiction, etc). The videos should be engaging and informative, and should be tailored to the specific treatment being discussed.

Artificial Intelligence for Divorce Support

The goal of this project is to develop Artificial Intelligence technology to help families through divorce. This will involve several different steps for the students, including:- Analyzing existing data related to divorce and family breakdown.- Developing an AI-based system to provide support and guidance during the divorce process.- Optimizing the system to provide the best possible outcomes for families.- Researching and incorporating additional variables to improve the system.- Testing the system and making improvements based on user feedback.

Data Entry to generate/expand a prospect database

Chemicals 101 directly markets products research labs. Initial contact with the customer is done by email. To populate a database there is significant time to organize the contacts information.We would like to collaborate with students in data entry to work towards maintaining a functional database.This will involve several different steps for the students, including:Familiarizing themselves with our database structure.Transferring data into our databases efficiently.Verifying the accuracy of the data in our databases and making relevant updates.Organizing and retrieving data as requested.Bonus steps in the process would also include:Providing assistance in creating new databases.

Data Science Project

As a Data Scientist with proven AI/ML experience, you will play a pivotal role in integrating ML solutions into our platform to create a more accessible and inclusive workplace for employees with disabilities. You will suggest new and novel approaches to develop solutions. You thrive on building and fine-tuning Natural Language Processing (NLP) models, delving deep into data analysis, visualizing findings, and effectively communicating insights to the cross-functional team.