You will get an AI resume screening and candidate ranking system
Project details
You will receive an AI-powered resume screening system that automatically analyzes candidate resumes and ranks applicants based on job requirements.
The system extracts key information such as skills, experience, and qualifications using natural language processing techniques. It then compares each resume with the provided job description to generate candidate match scores and rankings.
This solution helps recruiters quickly identify the most relevant candidates, reduce manual resume review, and streamline early-stage hiring workflows.
I focus on building practical AI solutions that are easy to use and integrate with existing workflows. The system can process resumes in common formats such as PDF or DOCX and deliver structured insights that support faster hiring decisions.
The system extracts key information such as skills, experience, and qualifications using natural language processing techniques. It then compares each resume with the provided job description to generate candidate match scores and rankings.
This solution helps recruiters quickly identify the most relevant candidates, reduce manual resume review, and streamline early-stage hiring workflows.
I focus on building practical AI solutions that are easy to use and integrate with existing workflows. The system can process resumes in common formats such as PDF or DOCX and deliver structured insights that support faster hiring decisions.
Machine Learning Tools
NLTK, pandas, Python, PyTorch, scikit-learnWhat's included
| Service Tiers |
Starter
$120
|
Standard
$250
|
Advanced
$450
|
|---|---|---|---|
| Delivery Time | 3 days | 5 days | 7 days |
Number of Revisions | 2 | 3 | 5 |
Number of Model Variations | 1 | 1 | 2 |
Number of Scenarios | 1 | 2 | 3 |
Number of Graphs/Charts | 1 | 2 | 3 |
Model Validation/Testing | |||
Model Documentation | |||
Data Source Connectivity | - | ||
Source Code |
Optional add-ons
You can add these on the next page.
Additional resume dataset
(+ 1 Day)
+$40Frequently asked questions
About Prashant
AI Engineer | RAG Chatbots, LLM Apps, Computer Vision | Python
Delhi, India - 9:59 pm local time
I design and deploy AI systems such as RAG chatbots, document intelligence tools, recommendation engines, and computer vision pipelines that automate information retrieval and decision-making.
Companies often struggle to extract useful insights from large amounts of information such as PDFs, internal documentation, or customer data. I help solve this by building AI systems that can understand, retrieve, and generate accurate responses using modern language models.
Background & Experience
• ~2 years of hands-on experience building AI and machine learning systems for real-world applications
• Developed RAG-based AI assistants capable of answering questions from documents and knowledge sources
• Built generative AI pipelines using Stable Diffusion for prompt-based image generation and visual transformations
• Implemented computer vision systems using YOLOv8 for object detection and scene understanding
• Designed production-style ML systems including recommendation engines, AI APIs, and modular ML pipelines
• Experienced in building scalable AI backends using Python, FastAPI, and modern ML frameworks
What I can help you build
• AI chatbots trained on company documents, PDFs, and knowledge bases
• RAG systems that allow users to ask natural questions and retrieve accurate answers from internal data
• AI assistants integrated into SaaS products, internal tools, or customer support platforms
• Intelligent search systems powered by embeddings and vector databases
• Scalable backend APIs for AI applications using Python and FastAPI
Technologies I commonly work with
Python, FastAPI, LangChain, vector databases, embeddings, and modern large language models.
I focus on building AI systems that are reliable, scalable, and easy to integrate into existing products.
If you're planning to build an AI chatbot, document assistant, or any LLM-powered feature, feel free to reach out. I’d be happy to discuss your project and help design a practical AI solution that fits your product and goals.
Steps for completing your project
After purchasing the project, send requirements so Prashant can start the project.
Delivery time starts when Prashant receives requirements from you.
Prashant works on your project following the steps below.
Revisions may occur after the delivery date.
Project requirement review
I review the provided resumes and job description to understand the hiring requirements and prepare the data for processing.
Resume data extraction
The system extracts key information such as skills, experience, education, and qualifications from the resumes using NLP techniques.