Inspiration

Many university and high school students spend countless hours emailing professors and companies for research opportunities and internships, in search of a company or a professor that's the right fit for them. That's why we came up with IntelliMailr, an automatic cold email generator.

What it does

Based on information provided by the user, Intellimailr generates an email to whichever company of professor the user specifies.

How we built it

The web application was built using Bootstrap for the frontend, and Flask for the backend. We were able to utilize Cohere's generation features in order to generate the cold emails from user provided information

Challenges we ran into

We had issues connecting the front and back ends, and did not have enough time to implement all of the features we were hoping for, such as email scraping

Accomplishments that we're proud of

We're particularly proud of being able to use Cohere's API in an effective and practical manner, as well as being able to create a tool which can be useful to many students.

What we learned

We learned a lot about web development, about web scraping, and about utilizing various APIs in conjunction with one another. Many of our team members have never done backend web development, so this was an interesting learning experience.

What's next for IntelliMailr

Unfortunately, during the development process, our team ran into difficulties when attempting to use the Gmail API. As a result, we were unable to automate the process of sending emails to contacts scraped from the internet. If we were to continue this project further, we would love to be able to implement such a feature in order to save time for the user.

Another feature that can expand the capabilities of IntelliMailr is the ability to rank professors based on their relevance to the interests of the user. In order to do this, we could utilize Cohere's rerank feature.

Share this project:

Updates