You will get your resume parsing system
Project details
This software helps recruiters process candidates faster by parsing resumes, comparing them against a job description, scoring the fit, and drafting outreach automatically.The workflow automates resume screening by extracting structured candidate information, evaluating alignment with the role, and generating recruiter-ready follow-up content.
Or even simpler:
Resume in->data extracted->matched to job->candidate scored->outreach draft generated.
Common use cases:
HR teams sorting candidate resumes into Excel
recruitment agencies building candidate databases
freelance recruiters processing batches of resumes locally
internal hiring teams shortlisting applicants by skills or experience
small companies that want resume parsing without using cloud APIs
privacy-sensitive environments where resumes should stay on a local machine
Quick Clearification: I can design this with Local Model(Personal use case) Or with Any AI
Note : Contact Me before Placing the order
Or even simpler:
Resume in->data extracted->matched to job->candidate scored->outreach draft generated.
Common use cases:
HR teams sorting candidate resumes into Excel
recruitment agencies building candidate databases
freelance recruiters processing batches of resumes locally
internal hiring teams shortlisting applicants by skills or experience
small companies that want resume parsing without using cloud APIs
privacy-sensitive environments where resumes should stay on a local machine
Quick Clearification: I can design this with Local Model(Personal use case) Or with Any AI
Note : Contact Me before Placing the order
Machine Learning Tools
ChatGPT, Google Sheets, GPT-3, Keras, Microsoft Excel, NLTK, NumPy, pandas, Python, Python Scikit-Learn, PyTorch, scikit-learn, Stanford CoreNLP, TensorFlow, Word2vec, XGBoostWhat's included $25
These options are included with the project scope.
$25
- Delivery Time 4 days
- Number of Revisions 4
- Number of Model Variations 2
- Number of Scenarios 2
- Number of Graphs/Charts 2
- Model Validation/Testing
- Model Documentation
- Data Source Connectivity
- Source Code
About Hamza
AI | NLP | Python | Cloud Engineer
Karachi, Pakistan - 4:25 am local time
I have shown great initiative in conducting independent research and performing thorough experiments in areas such as LLM fine-tuning, few-shot training and knowledge distillation, auto-labelling and model disagreement. I have successfully developed production APIs and tools that have been integrated into systems, using GCP and Microsoft Azure services. In addition to my technical skillset, I am a hardworking and dedicated professional. I consistently go above and beyond to ensure the success of projects, displaying a strong work ethic and a willingness to tackle complex challenges
~ while {
(alive) {eat (); sleep (); code (); repeat ();
}
is my motto.
Steps for completing your project
After purchasing the project, send requirements so Hamza can start the project.
Delivery time starts when Hamza receives requirements from you.
Hamza works on your project following the steps below.
Revisions may occur after the delivery date.
Idea Implementation
Rinse and Repeat
Step 1 is repeated to improve the results, as per revisions availability
