Standalone AI Resume Screening Tool -- 3

@softsolution2000

I have extensive experience in PHP, Python, Graphic Design, Software Architecture, and HTML, making me a perfect fit for the Standalone AI Resume Screening Tool project. I am confident in my ability to deliver a high-quality solution within your budget. Please review my profile for my 15 years of experience and commitment to client satisfaction. Let's discuss the project details and get started right away. I am eager to showcase my skills and dedication to this project. Looking forward to hearing from you.

@sahildogra222

Hi , I’ve carefully checked your requirements and really interested in this job. I’m working as a freelance graphic designer with U.S. and European teams. I’m offering best quality and highest performance at lowest price. I can complete your project on time and your will experience great satisfaction with me. I have rich experienced in AI Chatbot Development, Software Architecture, HTML, Natural Language Processing, Machine Learning Algorithms, AI Development, PHP, Graphic Design, Python and AI Model Development. For more information about me, please refer to my portfolios. I’m ready to discuss your project and start immediately. Looking forward to hearing you back and discussing all details.. I await your immediate response

@ludiac

Hello there, I can build a standalone AI-driven resume screening web app that accurately parses PDF and text resumes (including multi-column layouts), scores candidates transparently, and delivers ranked shortlists fast. I’ll use Python with spaCy + lightweight ML, expose editable YAML/JSON configs for keywords and weightings, and provide CSV/JSON exports. You’ll get a clean bulk-upload UI, reproducible training pipeline, and clear precision/recall metrics on a sample dataset. I’ll ensure 100 mixed resumes process in under a minute, with well-commented code and a step-by-step README for easy reuse and extension. Thanks.

@pixelonik

Hi, I am excited about the opportunity to develop an AI Resume Screening Tool for your recruitment needs. I understand the importance of accurately parsing resumes, transparent scoring logic, and providing a user-friendly interface for efficient candidate evaluation. My proposed steps include leveraging NLP stacks like Python, spaCy, and scikit-learn to create a standalone web app capable of parsing text and PDF resumes, ranking candidates based on configurable criteria, and providing export options for seamless data transfer. Please find examples of my previous work in my portfolio: https://www.freelancer.com/u/pixelonik I look forward to discussing this project further and potentially collaborating on future enhancements. Best regards, Ramandeep

@rbtech1984

Hello There!!! ⚜⭐⭐⭐⭐⚜(( THE PROJECT GOAL IS TO BUILD A STANDALONE AI RESUME SCREENING TOOL ))⚜⭐⭐⭐⭐⚜ I have reviewed your project description carefully and understand you need a self-contained AI recruitment assistant that parses text and PDF resumes, ranks candidates based on configurable criteria, and outputs results via a clean dashboard, CSV, or JSON. I can deliver a fast, accurate, and easy-to-use system tailored to your workflow. I am the right fit because I have hands-on experience in AI/NLP, Python development, and building lightweight web tools with intuitive interfaces. Key points for the project: 1. Accurate parsing of multi-format resumes including PDF and multi-column layouts 2. Configurable scoring with editable YAML/JSON for flexible weightings 3. Bulk upload interface with ranked results and sample dataset for training I will provide UI design, database/file management, testing, source code delivery, and basic CSV/JSON export. I have 9+ years experience as a full stack developer and have delivered AI-driven HR tools and parsing systems with Python and spaCy. Looking forward to chat with you for make a deal Warm Regards, Farhin B.

@Azursol

Hello Shekar! I’m excited about the opportunity to help with your project. Based on your requirements, I believe my expertise in PHP, HTML, Python aligns perfectly with your needs. How I Will Build It: I will approach your project with a structured, goal-oriented method. Using my experience in PHP, Python, Graphic Design, Software Architecture, HTML, Natural Language Processing, Machine Learning Algorithms, AI Chatbot Development, AI Model Development, AI Development, I’ll deliver a solution that not only meets your expectations but is also scalable, efficient, and cleanly coded. I ensure seamless integration, full responsiveness, and a strong focus on performance and user experience. Why Choose Me: - 10 years of experience delivering high-quality web and software projects - Deep understanding of PHP, HTML, Python and related technologies - Strong communication and collaboration skills - A proven track record — check out my freelancer portfolio. - I’m available for a call to discuss your project in more detail - Committed to delivering results on time, every time Availability: I can start immediately and complete this task within the expected timeframe. Looking forward to working with you, Shekar! Best regards, Ali Zahid Nigeria

@sf264

Hello client, I just had the chance to go through the project description in detail and it's exciting! Based on my vast experience, this project is straightforward for me, and I understand that you require an AI driven recruitment assistant that will focus solely on resume screening. Want the best results in quick time at a cost-effective price? Please message me and experience the difference. Looking forward to contributing to your project success, Fahad.

@yuliussmayoru

Hello! The usual failure here is parsing PDFs well but scoring like a black box, so I’ll combine reliable resume extraction with a transparent, editable scoring config. First I will build a standalone web app with bulk upload for PDF and TXT, fast parsing that handles multi column layouts, and a ranked results table with flags for gaps and missing qualifications. Next I will implement transparent scoring using a YAML or JSON weighting file for keywords, years, education, and red flags, so you can tweak weights without code changes. Then I will include a small sample dataset plus a simple training and evaluation pipeline, and provide a clear precision and recall report against a baseline. After that I will add export options, CSV download and a lightweight JSON endpoint for easy handoff to other tools. Finally I will deliver clean commented code and a step by step README so a non ML engineer can run, retrain, and extend it safely. Warm regards, Yulius Mayoru

@mykhaylob4

✋ Hi there. I can build a standalone AI-driven resume screening tool that parses PDFs and text resumes, ranks candidates against configurable criteria, and provides bulk upload with clear results. ✔️ I have solid experience in NLP-based recruitment tools using Python, spaCy, and scikit-learn. In a previous project, I developed a resume parser that handled multi-column PDFs, applied weighted scoring, and produced ranked shortlists with an easy-to-use dashboard. ✔️ For your project, I will implement accurate PDF and text parsing, a transparent scoring system configurable via YAML/JSON, a lightweight web dashboard for bulk uploads, and CSV/JSON export options. The system will also provide model performance metrics on sample data. ✔️ I will deliver the fully commented code in a Git repository, a working web app for local use, and clear setup and retraining instructions so you can maintain and extend it independently. Let’s chat to discuss your scoring criteria and sample data requirements. Best regards, Mykhaylo

@mughiraaa

Hello, I have reviewed the details of your project. i will create a standalone web app using python with fastapi for the backend and a minimal react dashboard for the front end. resumes will be uploaded in bulk and parsed using python libraries like pdfminer for pdfs and standard text parsing for txt files. spaCy will extract entities, keywords, education, and experience details. scoring logic will be modular and configurable in a json file so you can adjust weightings for keywords, experience years, and gaps without touching the code. results will be displayed in a sortable table on the dashboard with options to export as csv or json. a small sample dataset will be included for initial testing, along with instructions to retrain or extend the model on your own corpus. i will also provide a simple performance summary showing precision and recall on the sample set, and a clear readme explaining setup, usage, and updating the configuration. Let's have a detailed discussion, as it will help me give you a complete plan, including a timeline and estimated budget. I will share my portfolio in chat I look forward to hear from you. Thanks Best Regards, Mughira

@kishanbwts

Hello, I’ve built standalone resume screening tools for recruiting teams before, focusing on parsing diverse PDF and text layouts—including tricky multi-column formats—using spaCy combined with lightweight Transformer embeddings for balanced speed and accuracy. To keep scoring fully transparent and adjustable, I recommend a YAML-based config managing keywords, experience bands, and flag rules. This approach lets you tweak the ranking logic without changing code and clearly documents the criteria. For bulk uploads, a clean React dashboard can handle file intake and display ranked candidates instantly, while export via CSV and JSON APIs will keep your workflow flexible. I’d also include model performance metrics computed on a small sample dataset you provide, along with concise retraining instructions aimed at non-ML users—based on prior work with HR clients needing easy self-service ML tools. A quick question: Do you have preferred keyword categories, or should I suggest an initial config based on typical hiring roles, to get you started faster? I can begin structuring the app right away and share an initial prototype for your review within days. Looking forward to making hiring simpler and more efficient for you.

@itswahabahmad

One minute stands between you and streamlining your resume screening process, and I'm here to ensure your ambitious timeline is met. As a developer with extensive experience in architecting complex systems, including web apps and APIs, I am perfectly qualified to build your standalone AI Resume Screening Tool. With my in-depth understanding of the specific NLP stacks you've expressed interest in, like Python, spaCy and scikit-learn, I can meticulously design an AI tool that accurately parses blocks of text from various document formats for the best employee matches. Having a detailed approach is crucial for this project and my skill set consisting of Python and Software Architecture can guarantee this. I will diligently establish a configuration editor for you to fine-tune your keyword lists and weightings even without touching any code, providing you complete control over the system's scoring logic. I completely understand your need for reliable metrics, thus ensuring a comprehensible model performance summary (precision/recall) is delivered on your own sample set.

@NEHABHAT92

Having been in the field of web and mobile development for over 9+ years, I bring an extensive array of skills to ensure a thorough understanding of your project requirements. My expertise with technologies like HTML, PHP, Python and NLP stacks like spaCy, scikit-learn allows me to create AI solutions that are not only efficient but also flexible. I understand the need for precise keywords and weightings when it comes to resume screening and know how to deliver transparent scoring systems that allow modifications without the need for code changes. With regards to your request for clean UI for bulk uploads and ranked results, I can assure you of an intuitive design that suits your exact needs. In addition to providing you with a high-quality standalone AI Resume Screening tool that precisely parses both text-based and PDF resumes in under a minute, I am committed to ensuring that the code is well-commented and easy-to-follow by non-ML engineers. My services don't just stop there; going forward I'd be thrilled to assist you with future enhancements like interview scheduling or ATS integration. Let's turn your ideas into reality, together!

@JaibhanSinghGaur

Hi, I can build a standalone AI resume screening system that parses PDF and text resumes, ranks candidates using configurable criteria, and presents results through a clean dashboard or API. The scoring logic will be transparent and editable via JSON/YAML, so you can adjust weights without touching code. I’ll ensure fast bulk uploads, accurate parsing (including multi-column PDFs), and clear documentation for setup, retraining, and evaluation. Happy to start right away—let me know if you’d like to proceed and set the milestone.

@mkh559a5a1fd66e9

Drawing from my 14 years' worth of experience as a Full Stack Developer, my dedicated skill set aligns perfectly with the task at hand. Not only am I fluent in all the key elements of this project—Python, API creation, NLP stacks—but I also have hands-on experience with AI Agent, Machine Learning, and Natural Language Processing technologies. This blend of experience and skills would allow me to build for you a highly-efficient standalone AI Resume Screening Tool that parses text-based and PDF resumes, while still giving you the level of administrative control you need to rank or flag candidates using customizable criteria. Beyond delivering a lightweight dashboard for your web app, my understanding of Azure AI services will enable us to utilize the full power and potential of these tools while effectively meeting your specific needs. Coupled with Python's flexibility and scalability qualities, we will be able to develop a system that will improve your recruitment process to a great extent. Finally, as someone who believes in clear communication and easy knowledge transfer, I always ensure my code is clean, well-commented, and well-documented—specifically considering that you mentioned you're comfortable deploying Git repositories. Rest assured, upon project completion, I will provide a detailed README file that even non-ML engineers can easily follow for setup, running instructions

@ammartauqir2

Hi! This project fits me perfectly as I have worked on similar applied AI and clean engineering systems. I’ve developed production ML pipelines that turn messy real world documents into structured, decision ready data. Resume screening = NLP + parsing + scoring logic + usable UI, i have a solid grip on it. How I’ll build it Parsing - PDF + text ingestion using pdfminer/PyMuPDF - Multi-column handling + layout-aware extraction - spaCy pipeline for entities: skills, education, orgs, dates Example: “Software Engineer, ABC (2019–2023)” detects 4 years and designation Scoring - YAML config like: keywords: {python: 5, django: 3} min_experience: {ml: 2} gap_penalty: 2 You will just need to tweak weights to get. Model layer - Fast hybrid: rules + TF-IDF / small transformer for relevance ranking - Designed to process 100 resumes < 1 min on CPU - We can also integrate an LLM. Its use case will be to answer queries in resumes. Web app - FastAPI backend + lightweight dashboard - Bulk upload, ranked table, red-flag indicators - CSV export + JSON endpoint Evaluation - Sample labeled dataset included - Precision/recall report + retraining guide in README You’ll receive: clean repo, comments, setup guide, and retraining steps written for non-ML users. This is a practical system, built for speed, clarity, and control. Similar projects I built - Data scraping from Instagram and converting the raw data into trends. Looking forward to collaborate. Thankyou.

@KarthikTechCon

Hi, I’m Karthik, an AI-focused full-stack developer with 10+ years of experience in NLP, document processing, and automation tools. I’ve built parsing and scoring systems for resumes, contracts, and financial docs, so a standalone resume screening tool fits well with my background. How I’ll deliver: ✔ Robust resume parsing (PDF + text, multi-column safe) using NLP + layout-aware extraction ✔ AI-assisted ranking based on keywords, experience, qualifications & gap detection ✔ Transparent scoring logic driven by editable YAML/JSON configs ✔ Bulk upload UI + clean dashboard for ranked results ✔ CSV export + JSON API endpoint ✔ Well-commented Python code in a Git repo Performance & usability: ✔ Optimized pipeline to process 100 resumes in <1 minute ✔ Sample dataset + precision/recall summary ✔ Clear README for setup, usage, and retraining ✔ Simple, lightweight standalone web app (no ATS dependency) I focus on practical, interpretable AI—not black-box models—so you can tweak and trust results. If you want a fast, accurate, and maintainable screening tool, I’m ready to start. Let’s discuss your criteria and sample resumes.

@Ussama91

I will build an AI-driven recruitment assistant focused on resume screening, ingesting and parsing text-based and PDF resumes, ranking candidates against configurable criteria, and providing a standalone web app with export options. I will ensure accurate parsing, transparent scoring logic, and a clean UI for uploading files and viewing ranked results, using a suitable NLP stack and delivering well-commented code in a Git repo. I will meet the acceptance criteria, including uploading 100 mixed resumes, providing editable config, model performance summary, and a straightforward README. Waiting for your response in chat! Best Regards.

@albertc1996

Hi I have extensive experience building AI-powered resume screening tools and similar bots. I can deliver exactly what you need: Accurate parsing of PDF + text resumes (including multi-column layouts) Transparent, fully configurable scoring via editable YAML/JSON (keywords, experience years, qualifications, red flags, custom weights) Bulk upload + clean dashboard to view ranked shortlist CSV export + simple JSON endpoint Fast processing (100 mixed resumes < 1 minute) Well-commented Python code (spaCy / lightweight Transformers / scikit-learn), full README for setup/run/retraining Quick question before I propose the best stack: For heavier models (e.g. Transformers), will you provide GPU access for the project, or should we use external API services (OpenAI / Hugging Face Inference / Groq etc.) where the API costs are separate and paid monthly by you? Happy to share relevant code samples / past projects. Let me know your budget & timeline — ready to start immediately.