You will get AI-Powered Resume Screening & Talent Discovery Platform
Project details
ResumeFlow is a premium AI-powered resume management and talent discovery platform built for modern recruiters and HR teams. Unlike basic tools, it combines Google Gemini AI for deep resume analysis and Pinecone vector embeddings for semantic search — finding the best candidates based on meaning, not just keywords.
Upload resumes in PDF/DOC/DOCX, instantly preview them, analyze candidates for skills and job-role suitability, and filter talent in real time through a sleek, modern dashboard.
Built with React.js, Node.js, MongoDB, and Docker — fully scalable, production-ready, and easy to deploy. Perfect for recruitment agencies, HR startups, and enterprise hiring teams looking to save time and hire smarter.
Upload resumes in PDF/DOC/DOCX, instantly preview them, analyze candidates for skills and job-role suitability, and filter talent in real time through a sleek, modern dashboard.
Built with React.js, Node.js, MongoDB, and Docker — fully scalable, production-ready, and easy to deploy. Perfect for recruitment agencies, HR startups, and enterprise hiring teams looking to save time and hire smarter.
Target Country
Worldwide, United StatesWhat's included
| Service Tiers |
Starter
$100
|
Standard
$200
|
Advanced
$300
|
|---|---|---|---|
| Delivery Time | 4 days | 8 days | 16 days |
Candidate Screening | - | - | - |
Interview Consulting | - | - | - |
Recruiting Process Consulting | - | - | - |
About Guddu
AI Developer | SaaS | RAG & LLM Integrations | AI Integration | AI
Noida, India - 3:44 pm local time
I build two things well — production SaaS platforms and AI-powered applications. Whether you need a full-stack web product shipped from scratch or an LLM integration that actually works in a real workflow, I bring both to the table cleanly and fast.
I've shipped live SaaS platforms, built RAG chatbots with vector search, and integrated AI into document pipelines and business automation. I don't prototype and hand off — I build things that run in production.
What I deliver
SaaS Platforms & Web Apps
Full-stack SaaS with auth, subscriptions, dashboards, and admin panels — built with Next.js, Node.js, NestJS, and Supabase. Structured to scale from day one, not refactored six months later.
AI Integrations & LLM Apps
RAG chatbots with vector databases and knowledge retrieval, AI document processing and summarization, OpenAI / Claude / Gemini integrations, and n8n automation workflows. Built for real use cases, not demos.
Backend APIs & Automations
REST APIs, third-party integrations, workflow automation, and scalable server architecture. PostgreSQL, MongoDB, MySQL — matched to your data model, not defaulted.
Tech stack
Frontend: React.js, Next.js, TypeScript, Redux
Backend: Node.js, NestJS, Express.js
AI & Automation: OpenAI API, Claude API, Gemini, RAG / LangChain, LangGraph, n8n, Pinecone
Database & Infra: Supabase, PostgreSQL, MongoDB, MySQL, Docker
I keep scope clear, communication tight, and delivery consistent. Tell me what you're building — I'll give you a straight answer on fit and how I'd approach it.
Steps for completing your project
After purchasing the project, send requirements so Guddu can start the project.
Delivery time starts when Guddu receives requirements from you.
Guddu works on your project following the steps below.
Revisions may occur after the delivery date.
Requirement Gathering
Collect job roles, resume formats, branding preferences, and custom feature requests from the client.
Setup & Configuration
Set up backend, database (MongoDB), and configure Google Gemini AI and Pinecone API keys and environments.