co:ver letter

Effortlessly create professional, personalized cover letters for job applications with our cover letter generator. Say goodbye to the stress of writing cover letters & hello to more job opportunities!

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Inspiration 💡

Have you ever felt exhausted to create a well-written cover letter?

It can be a chore to keep personalizing cover letters for each different job you apply for.

📈Nearly 65% of fast-growing startups demand cover letters attached with resumes.

But even if a job doesn’t require a cover letter, that doesn’t mean you shouldn’t include one.

Nearly three-fourths — 77% — of recruiters said they would give preference to a candidate who sent a cover letter, even if they weren’t required to send it.

With co:ver letter, we create your cover letters for you in just one click! Our website creates content for your cover letter tailored to your resume and the job you're applying for.

What it does 📁

co:ver letter is a platform that takes your resume and the job description you are applying to, and effectively summarizes your skills to align with the company's requirements in the form of a high quality cover letter. co:ver letter is the perfect start for beginners as the user-friendly process easily formats personalized and accurate paragraphs for each job application within seconds.

⌛A cover letter builder saves time; most of the online services rely on the user to fill out sectional details before offering up a full cover letter. co:ver letter on the other hand, does that job for you.

How we built it 💻

🎨Using JavaScript, HTML, and CSS, we built the structure and design of the website.

📲 The back-end was developed with Python

⚙️To generate accurate data from the user's inputs, we first collected 32 sets of original resumes and cover letters that correlated to 32 job descriptions. Afterwards, we modelled all the complied sets of data using Co:here Generate API. Next, we specified the number of words, then prompted a specific job title and cover letter to generate the personalized cover letter

Challenges we ran into 👊

  • Learning Cohere's Co.Generator API to curate the dataset was difficult to understand and implement.
  • Connecting the backend to the frontend was a learning curve.
  • Writing and collecting 32 unique cover letters and resumes that linked to a specific job posting was a tedious, but we pulled through and encourage one another to meet the minimum number of datasets to import.

Accomplishments that we're proud of 🏆

We enjoyed the stage of brainstorming ideas, turning our vision into a prototype, and fully developing the application. This hackathon provided us the opportunity to work with new technologies like Cohere's generative API.

What we learned 📚

We have tried a lot of new technologies we've never used before: we have used the co:here API as an NLP for the first time; we used Flask as the front-end technology, with all of the useful Python libraries. It is excited to learn so many technologies within 36 hours, and most importantly, we have met so many amazing people helping us during our hacking!

What's next for co:ver letter ➡️

We would love to add more of the following features:

  • Form cover letters in a similar aesthetic format to match your resume
  • Conduct a better accuracy for the model with a more diversified dataset
  • In order to finetune the cover letters, we want to consult with career centers for better advice on the datasets
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