MargDarshak :Career intelligence platform

@chiragardeshna

Hi there, Strong alignment with this project comes from experience delivering Flask-based systems with MongoDB, structured APIs, and modular academic-friendly architecture. Clear understanding of the requirement to extend your platform with resume parsing, skill-gap analysis, roadmap generation, progress tracking, and feedback modules. Hands-on expertise with Python libraries, REST APIs, and clean blueprint-based structuring ensures maintainable code and smooth feature integration. Risk is minimized through modular development, unit testing, clear documentation, and consistent validation of each feature. Available to start immediately happy to discuss next steps or share progress updates regularly. Recent work: https://www.freelancer.com/u/chiragardeshna Regards Chirag

@Ritesh11gupta

Hello! I specialise in projects like ' MargDarshak :Career intelligence platform' and have a strong track record of delivering on time and within budget. I take quality seriously and always test my work thoroughly before delivery. Let's have a quick chat to align on requirements and I can get started right away.

@fatema0013

Building upon my expertise in Data Analysis and Python, I am thrilled to align my skills with your project requirements. With my Full-Stack Web Development background including Flask and MongoDB, I can seamlessly and effectively extract relevant information from the uploaded resumes, in line with your first requirement. Further, as a solution-oriented data scientist, I can perform skill-gap analysis meticulously by comparing parsed or manually entered skills against chosen career profiles to help users understand their proficiency areas and enhance them accordingly. Designing a personalized career roadmap is another pivotal aspect of your project and one I'm confident in executing flawlessly. By leveraging the data at hand alongside identified gaps, I will create a step-by-step roadmap that ensures optimum progress. Additionally, my proficiency in API Development & Integration would be instrumental for seamless frontend rendering of the gap list and tracking the progress on the outlined tasks. Moreover, maintaining a feedback system with clear actionability and concise representation of user ratings and comments assure continuous improvement of MargDarshak. With an emphasis on REST conformance and unit testing, I guarantee that all added functionalities will be well-integrated into your existing structure. Overall, my skill-set aligns incredibly well with

@MuhammadAsad108

✔ I deliver 100% work — 99.9% is not for me. ✔ Workflow Diagram Requirements Analysis ⟶⟶ Resume Upload & Parsing ⟶⟶ Skill-Gap Analysis ⟶⟶ Career Roadmap Generation ⟶⟶ Progress Tracking ⟶⟶ Feedback System ⟶⟶ Testing & Documentation Key Highlights ✔ Resume parsing — upload PDFs and extract education, skills, and experience using lightweight Python libraries (PyPDF2/pdfminer). ✔ Skill-gap detection — compare user skills against chosen career profiles and return gaps as JSON. ✔ Personalized career roadmap — generate structured step-by-step guidance and persist user progress. ✔ Progress visualization — interactive completion tracker for roadmap items and learned skills. ✔ Feedback system — five-star rating with optional comments; calculate and display average ratings. ✔ RESTful API endpoints — clean, modular Flask blueprints for each feature, following academic conventions. ✔ MongoDB integration — clearly documented new collections and schemas for each feature. ✔ Unit tests — minimal but sufficient to demonstrate correctness for review purposes. ✔ Clean, maintainable code — structured for readability and easy grading. ✔ Comprehensive README — explains setup, new routes, demo instructions, and dependencies. ✔ Local deployment — works entirely with flask run and MongoDB; no external AI services required. Best Regards, Asad Python/Flask Developer | MongoDB Specialist | Academic-Grade Web Applications

@netclickgr

I've reviewed your MargDarshak requirements and understand you need five Flask features: resume parsing with pdfminer, skill-gap analysis comparing parsed skills against career profiles, personalized roadmaps, progress tracking with completion percentages, and a feedback system with ratings—all with REST endpoints and unit tests for your academic evaluation. I'll implement each as a separate Flask blueprint with clear MongoDB schemas, keeping the codebase clean for your reviewer while ensuring everything runs locally with `flask run` and MongoDB. With a decade of Flask development experience and Google Partner certifications, I deliver production-ready code on tight academic timelines. Ready to start—let's discuss your requirements.

@manoval09

Hello, I’d be glad to help improve MargDarshak with intelligent career-guidance features. I have experience with Python, Flask, MongoDB, recommendation systems, and ML-backed tools, and I’m comfortable working inside an existing codebase without breaking what’s already working. My first step would be to understand your current platform and the exact features you want to add, then build the most useful ones in a practical, phased way. I want to be transparent that ₹1500 is quite limited for full AI/ML development, but it can still work for focused feature improvements or an MVP. If you share the complete feature list, I can quickly confirm what’s realistic and suggest the best way to move forward within your budget.

@lalit66

Hi, I’ve carefully reviewed your MargDarshak Flask project and the required feature additions. The scope is clear and well-structured, and I can help you implement all five modules in a clean, modular, and academic-friendly way. I have experience working with Flask + MongoDB and building REST-based features with proper separation (blueprints), so your codebase will remain easy to understand and grade. Here’s how I’ll approach it: • Resume parsing using lightweight Python libraries and storing structured data in MongoDB • Skill-gap analysis API returning clean JSON for frontend use • Personalized roadmap generation with persistent storage and update capability • Progress tracking with completion percentage logic • Feedback system with ratings + comments and average calculation I will also: • Follow proper REST conventions • Keep code clean and well-commented • Structure everything into modules/blueprints • Provide a clear README with setup + demo steps • Include basic unit tests To ensure smooth progress, I suggest splitting the work into milestones for each module. Timeline: 8–10 days Budget: ₹12,000 Before we begin, I’d like to confirm: • Do you already have career profiles defined for skill-gap comparison? • Is there any frontend already in place or should I return API-only responses? Looking forward to working on this. Thanks

@chiragjiwnani005

Hi, this project aligns perfectly with my experience, and I’d be excited to help you enhance MargDarshak for your final-year submission. I’ve worked extensively with Flask and MongoDB in building structured, modular applications, and I understand the importance of clean architecture and documentation for academic evaluation. For your requirements, I can implement: * Resume upload + parsing (skills, education, experience stored in MongoDB) * Skill-gap analysis with structured JSON output * Personalised career roadmap generation with persistence * Progress tracking with completion metrics * Feedback system with ratings and comments I will ensure: * Clean, modular Flask blueprints * RESTful API design * Well-commented code for easy grading * Minimal unit tests for key endpoints * Clear README with setup and demo steps Everything will run locally using Flask and MongoDB without external dependencies, as required. I can deliver this within 4–6 days with regular progress updates. Quick question: Do you already have predefined career profiles/skill sets, or should I structure those as part of the implementation? Looking forward to working with you!

@digiideveloper

In the realm of full-stack development, few freelancers can match the proficiency my team at Digii Developerz bring. We have an impressive skillset in MongoDB, which is integral to your project’s data storage needs, and we employ this technology adeptly to build scalable platforms. Our proficiency extends to both front-end and back-end web development, ideally aligning with your existing Flask stack. Our understanding and usage of RESTful conventions guarantee clean code separation for easy academic evaluation. Flask? Not a problem! We have considerable experience working on Flask projects like yours and understand its specific nuances. We also appreciate your need for effective documentation - a critical aspect of any project. You can rest assured that I commit myself not just to meet but surpass these requirements set by you. And while I completely comprehend the tight timeline on which you are operating, that would never prompt me to compromise the quality or effectiveness of my output. Trust me, together we will complete this project within the given timeframe; putting emphasis on steady progress updates to keep you informed every step of the way. Don't delay; let's transform your 'MargDarshak' into a career intelligence platform par excellence with Digii Developerz.

@manibalas

Hi, I’m an experienced full-stack developer with 7+ years working with Python, React (TypeScript), Node.js (Express), PostgreSQL, Mongodb and Tailwind CSS. I’ve successfully built, debugged, and deployed SaaS and e-commerce platforms, including payment and API integrations. here’s how I can help: Testing & Debugging: I will systematically test the React + Node.js codebase, identify bugs, and fix layout or functional issues. I use tools like Cypress and Jest for end-to-end and unit testing to ensure stability. Deployment Optimization: I can streamline your Replit → GitHub → Railway workflow, implement rollback strategies, and set up automated database backups. API Integration: I have hands-on experience with WooCommerce and Stripe, including subscription handling, payments, and webhooks, ensuring smooth e-commerce operations. Code Quality & Maintainability: I follow best practices for clean, modular code and documentation to make future updates easier. Portfolio Highlights: Job Scraper Notifier – Full-stack SaaS app with automated notifications. DevStations – React + Node.js platform with API integrations and database optimization. Task Manager – End-to-end CRUD, authentication, and deployment pipelines. Looking forward to your response!

@shailender18

With my extensive experience in full-stack development, I believe I can bring immense value to your project, MargDarshak. Having worked extensively with Flask and MongoDB – both central to your existing stack – I have a deep understanding of the technology you require. What sets me apart is not just my technical expertise, but my commitment to delivering clean, efficient code and structuring projects in an academic-friendly manner. Moreover, from resume upload and parsing to skill-gap analysis and personalized career roadmaps, every task is well within my skillset. I've successfully implemented similar features numerous times, allowing me to have an intimate knowledge of what works best for a project such as yours. Lastly, my dedication aligns seamlessly with your tight academic timeline. I understand that steady progress updates are crucial for such projects – rest assured, I consistently communicate and deliver results on time.

@Ayush4604

Hi, I have experience with Flask and web development, and I can help improve your career guidance site efficiently. I can work on UI enhancements, add sections for skills, projects, and progress tracking, and ensure the site is clean and user-friendly. I will follow your requirements carefully and deliver a well-structured solution. I’m ready to start immediately and complete the work within the given time.

@HarshithaJP27

Hi, your requirements are clear. I have experience with Flask + MongoDB and can implement all 5 features with clean, modular, review-friendly code. I’ll cover: • Resume parsing + MongoDB storage • Skill-gap analysis (JSON output) • Personalized roadmap (persistent) • Progress tracking • Feedback system (ratings + comments) Includes REST APIs, basic tests, schema docs, and a clear README. Runs locally with Flask + MongoDB only. I can start immediately and provide regular updates.