Development of Advanced AI-Powered Job Matching Platform with Cross-Browser Plugin for Recruiters

₹500-1500 INR / hour

Closed

Posted over 1 year ago

₹500-1500 INR / hour

Project Description: We are on the lookout for an experienced development team or developer with a proven track record in AI-driven applications, Natural Language Processing (NLP), and web-based plugin development. This project aims to create an innovative job-matching platform that uses a browser extension to assist recruiters in efficiently finding the best-matched candidates based on job descriptions. The platform’s core functionality centers around sophisticated NLP and machine learning algorithms to analyze and match job descriptions with candidate profiles, automating much of the recruitment process and enhancing decision-making for recruiters. The platform should be intuitive, scalable, secure, and optimized for cross-browser compatibility. Key Project Requirements and Deliverables 1. Technical Requirements and Architecture Technology Stack Selection: Frontend: JavaScript (React or Vue.js) for an interactive, responsive interface, designed to function seamlessly as a browser extension. Backend: Node.js or Python (Flask/FastAPI) to handle backend requests and data processing, ensuring high efficiency and scalability. Database: NoSQL (MongoDB) for flexible handling of semi-structured and unstructured data from resumes and job descriptions. Similarity Algorithm: NLP models based on spaCy, TensorFlow, or PyTorch to ensure accurate and nuanced matching between job descriptions and resumes. Cloud Infrastructure: AWS, GCP, or Azure for hosting with a focus on scalability, auto-scaling, and load balancing. Browser Extension Frameworks: Utilize WebExtension API for cross-browser compatibility across Chrome, Safari, and Firefox, allowing seamless integration with each browser’s ecosystem. System Architecture: Implement a microservices architecture, where each key component—front-end plugin, similarity algorithm, and database integration—operates independently. This modular approach supports efficient development, testing, and scalability while allowing future feature expansion with minimal impact on other components. 2. Front-End Plugin Development User Interface (UI) Design: Create a clean, intuitive UI for job input and matching results, enabling recruiters to paste or upload job descriptions, view matched candidates, and refine search criteria easily. Develop a simple dashboard that displays ranked candidates and allows recruiters to adjust search filters and sorting preferences. Browser Extension Features: Data Collection: The plugin should be capable of extracting job descriptions directly from web pages or via manual input. Authentication: Implement secure login protocols to ensure only authorized recruiters access the platform. Job Description Parsing: Use NLP techniques to automatically parse job descriptions and extract critical attributes such as required skills, experience, qualifications, and other relevant details. User Experience (UX): Design workflows and real-time feedback for ease of use, ensuring clear instructions and visual cues to guide recruiters through each step. Testing Across Browsers: Conduct rigorous testing across Chrome, Safari, and Firefox to guarantee consistency, reliability, and compliance with each browser’s security standards and permissions for accessing clipboard data. 3. Backend Development and Similarity Algorithm Similarity Algorithm Development: Design and implement a matching algorithm leveraging NLP methods, including word embeddings, cosine similarity, and transformer-based models (e.g., BERT, RoBERTa). This algorithm should accurately identify candidates based on key criteria such as skills, experience, location, and relevance. Establish a scoring system to rank matched candidates on various factors such as skill alignment, experience levels, and geographic preference. Job Description and Resume Data Processing: Standardize job description and resume data by extracting and organizing key information (skills, years of experience, industry) for streamlined comparison. Integrate a ranking system to prioritize candidates based on specified job requirements, enhancing recruiter efficiency. Backend Integration: Develop API endpoints that securely receive job descriptions from the plugin, process data through the similarity algorithm, and return relevant candidate matches. Ensure the platform provides near-real-time responses, optimizing the user experience and allowing recruiters to work without interruptions. 4. Database and API Integration API Access to Job Portals: Integrate with third-party APIs from job portals like LinkedIn, Indeed, and Monster to obtain job and candidate data, using public or partnership-based API access. Develop scripts to automate data fetching and ensure frequent updates, keeping candidate pools and job descriptions relevant. Database Design: Build a NoSQL database optimized for fast data retrieval and easy scalability to support growth in data volume over time. Implement indexing for efficient search and retrieval across fields like skills, experience, and job roles. Data Management and Security: Ensure full compliance with data privacy regulations (GDPR, CCPA), utilizing encryption, secure access protocols, and anonymization for personal data. Secure data to protect candidate privacy, embedding stringent data handling protocols throughout the platform. 5. Machine Learning and Model Training Data Collection and Annotation: Gather extensive job descriptions and resumes for model training, including annotated data to enhance skill and experience extraction accuracy. Model Selection and Training: Experiment with various models (e.g., TF-IDF, Word2Vec, BERT) to identify the most accurate match between job descriptions and resumes, adjusting hyperparameters for best performance. Continuously retrain and refine the model with recruiter feedback and newly added data, ensuring continuous improvement in matching quality. Evaluation Metrics: Define evaluation metrics (accuracy, recall, precision) to assess model performance periodically, refining as needed to maintain high standards. 6. Testing and Quality Assurance End-to-End Testing: Test the full job-matching process from data extraction to candidate ranking to verify functionality across components. Unit and Integration Testing: Implement unit tests for individual modules (plugin, API, similarity algorithm) and integration tests to ensure smooth operation between components. User Acceptance Testing (UAT): Conduct UAT sessions with recruiters to validate functionality, usability, and accuracy based on real-world use cases. Scalability Testing: Test the platform’s resilience to handle multiple users simultaneously, maintaining stability and response time under heavy loads. 7. Deployment and Launch Infrastructure Setup: Deploy to a cloud service provider with auto-scaling and load balancing, ensuring scalability and reliability as user volume grows. Browser Plugin Publication: Publish the plugin on Chrome Web Store, Firefox Add-ons, and Safari Extension Gallery, ensuring compliance with each platform’s guidelines. Monitoring and Maintenance: Set up ongoing monitoring for API health, database efficiency, and model accuracy, coupled with a logging system for swift error resolution. 8. Post-Launch Optimization and Growth Feedback Loop and Model Tuning: Gather recruiter feedback to refine the algorithm and increase recommendation accuracy. Implement A/B testing to validate UI improvements and feature changes, optimizing user satisfaction and engagement. Feature Expansion: Consider expanding to include ATS integration, advanced candidate ranking customization, and API support for additional job portals. Develop an adaptive learning model that tailors suggestions based on individual recruiter preferences and trends in job matching. Customer Support and Training: Provide training resources (tutorials, webinars, documentation) to assist recruiters in optimizing the platform’s use. Skills Required Frontend Development: JavaScript (React or Vue.js) and experience in browser plugin development Backend Development: Node.js or Python (Flask/FastAPI) Database Management: NoSQL databases (MongoDB) NLP and Machine Learning: Familiarity with spaCy, TensorFlow, PyTorch, BERT, Word2Vec API Integration: Knowledge of job portal APIs (LinkedIn, Indeed, etc.) Cloud Infrastructure: Proficiency in AWS, GCP, or Azure for scalable deployment Data Privacy and Security Compliance: Knowledge of GDPR, CCPA

Software Architecture

Project ID: 38739990

About the project

21 proposals

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Active 2 yrs ago

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21 freelancers are bidding on average ₹960 INR/hour for this job

@iradoicic04

✋ Hi there. I can help you develop your AI-driven job-matching platform. ✔️ With extensive experience in frontend (React/Vue.js) and backend (Node.js/Python), I can implement the required functionalities, including NLP algorithms for candidate matching and a browser extension for seamless integration. I have a strong background in database management (MongoDB) and API integration, ensuring compliance with data privacy regulations. Let’s discuss how I can bring your project to life!

₹1,000 INR in 40 days

5.0

(5 reviews)

4.6

@akkiwadhwa1995

With over 5 years of senior developer experience, I bring a wealth of expertise to the table. Proficient in backend development using Python and R, I'm well-equipped to create robust platforms. My database management skills include MySQL, SQL, and SQLite, ensuring efficient data organization. Using web frameworks like Flask and Django, I can build scalable and responsive web applications. Web scraping, data analysis, and visualization are second nature, thanks to tools like Beautifulsoup, Selenium, Pandas, Seaborn, Numpy, and Matplotlib. Additionally, I have hands-on experience in machine learning with PyTorch, TensorFlow, Keras, DNN, GAN, CNN, and Scikit-learn. My commitment to transparency, quality, and full-time availability makes me an ideal choice for your project. Let's collaborate to bring your vision to life.

₹1,000 INR in 40 days

4.7

(16 reviews)

4.5

@rajat23091969

Greetings cro0459030, With my extensive experience in ASP, C Programming, Java, Python, and Artificial Intelligence, I am excited to offer my expertise for the development of your AI-powered job matching platform. I am well-versed in web scraping, software architecture, and NLP, making me a valuable asset to your project. I am confident in my ability to contribute to the creation of a cutting-edge platform that streamlines the recruitment process for recruiters. Your project aligns perfectly with my skills and passion for innovation in technology. I look forward to discussing how we can collaborate to bring your vision to life and achieve successful results. Thank you for considering my proposal, and I am eager to further explore this opportunity with you. Warm regards, raj

₹1,050 INR in 3 days

4.2

(16 reviews)

5.1

@malkesh3m

⭐ Hi, My availability is immediate. I read your project post on Development of Advanced AI-Powered Job Matching Platform with Cross-Browser Plugin for Recruiters. We are experienced full-stack Python developers with skill sets in - Python, Django, Flask, FastAPI, Jupyter Notebook, Selenium, Data Visualization, ETL - React, JavaScript, jQuery, TypeScript, NextJS, React Native - NodeJS, ExpressJS - Web App Development, Data Science, Web/API Scrapping - API Development, Authentication, Authorization - SQLAlchemy, PostegresDB, MySQL, SQLite, SQLServer, Datasets - Web hosting, Docker, Azure, AWS, GPC, Digital Ocean, GoDaddy, Web Hosting - Python Libraries: NumPy, pandas, scikit-learn, tensorflow, etc. Please send a message So we can quickly discuss your project and proceed further. I am looking forward to hearing from you. Thanks

₹830 INR in 40 days

4.3

(20 reviews)

4.4

@digilogies

Having been involved in a broad spectrum of Full Stack development projects during my 4+ years as a Web Developer, I have amassed extensive expertise in PHP, Python, and Software Architecture - crucial building blocks for your AI-Powered Job Matching Platform. I have a deep understanding of website development, apps creation, API integration and content management system (CMS) development with proficiency in popular CMS platforms such as Shopify, WordPress, WIX, and SquareSpace. My technical prowess extends further to include NLP leveraging Python-based libraries like spaCy, TensorFlow, or PyTorch which will be pivotal in applying machine learning algorithms on text data for accurate job descriptions and candidate matching. Additionally, my experience with NoSQL databases like MongoDB means I'm well-versed in handling semi-structured and unstructured data - a vital skill for processing resumes for your platform. Lastly, a project of this magnitude requires meticulous planning and utmost commitment – qualities that I deeply uphold. My track record showcases an impeccable 100% Job Success Score from delivering over 100 top-notch projects within deadline while still maintaining an ongoing support culture - a trait I intend to bring to this endeavour to ensure your satisfaction from implementation through launch and beyond. Let's discuss how I can build your visionary platform with proficiency, reliability and superior user experience in mind!

₹500 INR in 40 days

5.0

(1 review)

3.0

@INVRIO

Hello, I am interested in your project. Look at my profile. I am expert in these tasks that mention in your project description. I have more than 15 years of work experience. Time and budget will be decided after detailed discussion on chat or call. I am hoping for your positive response. Regards Pragnesh Tavadia

₹500 INR in 40 days

5.0

(9 reviews)

2.4

@stefan327

As an experienced Full Stack Developer with a specialization in frontend development and senior-level expertise in relevant backend systems, I am perfectly suited to lead and execute your AI-powered Job Matching Platform project. My skills in architecting intuitive, scalable, and secure web applications using JavaScript, React, Vue.js, Node.js, Python are ripe for deploying and integrating the key components of your proposed platform. My work in the blockchain space is an asset as we can employ the environmental-friendly technology of Web3 to create optimum digital experiences. Furthermore, my knowledge of various database management solutions including NoSQL (MongoDB) will contribute to your project's requirement for handling semi-structured and unstructured data from resumes and job descriptions. I am not just familiar with NLP models based on spaCy, TensorFlow, or PyTorch; I have successfully applied them to develop various machine learning algorithms that analyze and match datasets. Let's take this step towards revolutionizing recruiters' efficiency together!

₹1,000 INR in 40 days

5.0

(1 review)

0.9

@dsmith9691

Hi Neeraj B.. I am Dylan. I have read your description. I am Full stack developer and have a rich experience in wide field. Especially I have deep understanding and confidence in Software Architecture, PHP, Java, Python and Algorithm. My goal is to show my skill to the others, and if my clients feel satisfy with my work, I feel really pride. The money is not problem for me, my main goal is to improve my skill to top state. Please contact me. Have a great time

₹840 INR in 38 days

0.0

(0 reviews)

0.0

@shashank165

Hi Team, I have over seven years of experience in AI-driven applications, NLP, and web-based plugin development, I’m well-equipped to deliver a powerful and user-centric job-matching platform. I envision a robust, modular solution focused on scalability, precision in candidate matching, and seamless cross-browser compatibility, leveraging the latest NLP models and cloud technology. Core Skills JavaScript Browser extension development Node.js/Python (Flask/FastAPI) NoSQL (MongoDB) NLP (spaCy, TensorFlow, PyTorch, BERT) API integration (LinkedIn, Indeed) AWS/GCP/Azure proficiency GDPR/CCPA compliance ML model training and evaluation Data security Case Study: AI Job-Matching Platform Previously, I developed an AI-based recruitment tool that leveraged NLP and machine learning to streamline candidate matching. This tool featured a dynamic similarity algorithm that accurately ranked candidates, reducing recruiter workload by automating job description parsing and candidate profile matching, ultimately enhancing hiring efficiency and accuracy. To better understand and personalize your solution, I’d like to ask: Are there specific attributes or criteria beyond skills and experience that you'd like emphasized in the matching algorithm? Do you envision needing custom recruiter dashboards or additional data visualization features? As project requirements are not fully detailed, I’ve placed a tentative bid. To provide the best quote, let’s discuss further! Regards, Shashank

₹1,200 INR in 40 days

0.0

(0 reviews)

0.0

@sagarg332

I am an experienced Prompt Engineer at Outlier AI, a US-based company, with hands-on experience in real-life projects and extensive work with US-based clients. I specialize in: Developing efficient and modular code solutions. Conducting comprehensive code reviews to enhance readability and performance. Systematically debugging and troubleshooting complex issues. Creating detailed example usages and test cases. I am offering my coding expertise, ensuring top-quality work delivered in minimal time. Regular communication is important to me, so let’s keep in touch to ensure your project's success.

₹1,000 INR in 40 days

0.0

(0 reviews)

0.0

@OMACIASNARVAEZ

Con mucho gusto, si puedes atenderme en español, o por chat en inglés. Tomo el servicio por el tope especificado por ti.

₹1,500 INR in 80 days

0.0

(0 reviews)

0.0

@JerryPrograms

Hello, I am eager to contribute to your innovative job-matching platform using AI-driven applications and NLP. With extensive experience in developing similar projects, I am well-equipped to deliver a solution that meets your goals. Key Experience: Frontend Development: Proficient in JavaScript and React, with a background in building responsive browser extensions compatible across Chrome, Safari, and Firefox. Backend Development: Skilled in Node.js and Python (Flask/FastAPI), I have successfully developed robust APIs and handled data processing for various applications. Database Management: Experienced with NoSQL databases like MongoDB, optimizing data handling for semi-structured and unstructured data. NLP and Machine Learning: Familiar with NLP libraries such as spaCy and TensorFlow, I have implemented algorithms for accurate job description and candidate profile matching. Cloud Infrastructure: Proficient in deploying scalable applications on AWS, GCP, or Azure. Compliance and Security: Knowledgeable about GDPR and CCPA, ensuring secure data management practices. My Approach: I prioritize collaboration with your team, rigorous testing, and continuous improvement through user feedback. I am excited about the opportunity to create an effective solution that enhances the recruitment process. Thank you for considering my proposal. Best regards, Zain Aftab

₹1,000 INR in 40 days