AI-Powered Job Recommendation Web Application
Budget: ₹12,500 – ₹37,500 INR
We need a seasoned developer to construct a cutting-edge, web-based application that capitalizes on AI for resume analysis, skill identification, and relevant job postings suggestion. The essentials for the role are:
* Mastery of Natural Language Toolkit (NLTK), TensorFlow, and PyTorch
* Robust experience with AI and machine learning methodologies
* Knowledge in database technologies
The envisioned features for the application include:
* Resume parsing: Indexing resumes and extracting key data points.
* Skill identification: Spotting and categorizing listed skills in resumes.
* Job recommendation: Based on analyzed resumes, recommend appropriate job vacancies.
* Resume improvement Tips: Provide various Resume improvement tips
* Course recommendation: Suggest relevant courses based on user’s skills and interests.
* ATS scoring: A system to rank resumes based on relevancy to job descriptions.
An ideal candidate would have prior experience in similar projects, showcasing their ability to align the output with the project's main goal.
Must refer the attached document
* Mastery of Natural Language Toolkit (NLTK), TensorFlow, and PyTorch
* Robust experience with AI and machine learning methodologies
* Knowledge in database technologies
The envisioned features for the application include:
* Resume parsing: Indexing resumes and extracting key data points.
* Skill identification: Spotting and categorizing listed skills in resumes.
* Job recommendation: Based on analyzed resumes, recommend appropriate job vacancies.
* Resume improvement Tips: Provide various Resume improvement tips
* Course recommendation: Suggest relevant courses based on user’s skills and interests.
* ATS scoring: A system to rank resumes based on relevancy to job descriptions.
An ideal candidate would have prior experience in similar projects, showcasing their ability to align the output with the project's main goal.
Must refer the attached document