Google Gemini
Google Gemini is a powerful multimodal AI that streamlines college work by acting as a 24/7 research and study partner. It can synthesize complex topics into cited reports, transform lecture notes into practice quizzes, and even explain difficult textbook diagrams from a simple photo. By integrating directly with Google Docs and Slides, it helps you move from a blank page to a polished project faster, allowing you to focus more on learning and less on formatting.
What can it do?
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Research: Summarize dense academic papers in seconds.
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Drafting: Generate essay outlines or polish your bibliography.
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Tutoring: Get step-by-step help with math or coding problems.
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Studying: Turn your PDFs and notes into interactive study guides.
FAQ
Google Gemini has features for all user groups, students, faculty and staff. It can be used for research, exam prep, writing, coding and tutoring. Please note: a Google account will be needed for login.
A Google account is not required to use basic Gemini features, but to use the advanced, full scope of features, a Google account is required.
Access Google Gemini online.
Download the Gemini app from the Apple or Google Play store.
1. Login with your Google account.
2. The Gemini chat window displays.

3. Enter your prompt in the chat window, "Where should we start?" Or use one of the quick prompts below the chat window to get started.
4. After entering your prompt, Gemini will generate content based on the prompt entered. Fine tune it with additional instructions as needed. Gemini works very much like ChatGPT and Copilot.
5. Copy the information as needed to use in other projects.
There is a wealth of information on how to use Gemini available online. A few resources are listed below:
- LinkedIn Learning - Get Started with Google's AI Assistant (LinkedIn login required)
- More About Google Gemini (what it is and how it works)
- Get Started with the Gemini Mobile App
- Manage and Delete Gemini Activity
- Talk Naturally with Gemini Live
Gemini prioritizes user data privacy by default, ensuring that, for most users, interactions are not reviewed by humans or used to train models without permission. Enterprise users (Workspace) get enhanced data protections, including data residency, with no data sharing outside the organization. Users retain control with options to delete or export data.