Freelancers using Node.js in Pune

Freelancers using Node.js in PuneFreelancers using Node.js in Pune

Projects People

Maitreya Kulkarni

Software Developer | Website | Mobile Apps | Custom Software

Software Developer | Website | Mobile Apps | Custom Software

Cover image for Portfolio Web Application for Dr. Rajendra Shende

Portfolio Web Application for Dr. Rajendra Shende

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Cover image for Development of Client's Nest CRM Platform

Development of Client's Nest CRM Platform

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Cover image for AI-Powered SaaS Development for Aurenium Capital

AI-Powered SaaS Development for Aurenium Capital

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Koustubh Lapate

Full Stack Developer

19: Followers

Full Stack Developer

Cover image for I am excited to announce that I have an Cattle Monitoring Sy...

I am excited to announce that I have an Cattle Monitoring System to detect lumpy disease in cows.!! Integrated real-time data collection on cow activity (steps count, temperature, milk production) via an API to assess health. Built a machine learning model for image classification to analyze cow images and predict lumpy disease. Implemented a continuous monitoring system, allowing farmers to upload images for daily health analysis over a period of time. Designed backend API to process data, perform AI-driven predictions, and send health alerts to the frontend.

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Cover image for I am excited to share that I’ve built an AI-based Real Estat...

I am excited to share that I’ve built an AI-based Real Estate Chatbot that helps users find properties, answer FAQs, and capture leads - all in real-time! 📌 Key Features: ✅ Instant responses to customer inquiries ✅ Smart property recommendations based on budget, location & other parameters ✅ Seamless lead capture to boost conversions 📽️ 𝐂𝐡𝐞𝐜𝐤 𝐨𝐮𝐭 𝐭𝐡𝐞 𝐝𝐞𝐦𝐨 𝐯𝐢𝐝𝐞𝐨 𝐚𝐭𝐭𝐚𝐜𝐡𝐞𝐝! 🚀 Want this chatbot for your real estate business? I’m ready to integrate it! 💡 Need a custom AI chatbot for your industry? I can build one tailored to your needs! Let’s connect and bring AI-powered automation to your business!

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Cover image for Hey everyone, Super excited to share something I’ve been wor...

Hey everyone, Super excited to share something I’ve been working on - inteGPT, an AI-powered platform I built to help interior designers and creative teams become 10x more productive. The goal behind inteGPT is simple: to help creatives focus more on imagination and less on repetitive work. The platform brings together speed, precision, and creativity, making it easier to generate ideas, designs, and assets in seconds. Whether you’re brainstorming design concepts or building client-ready visuals, inteGPT helps you stay ahead in today’s fast-moving creative world. Check it out and see how AI can completely transform your workflow - https://www.integpt.com/

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Cover image for A website isn’t just your digital identity - it’s your first...

A website isn’t just your digital identity - it’s your first impression in milliseconds. I’ve seen clients focus entirely on visuals while ignoring usability. But a clean design without logical flow leads to drop-offs, not conversions. I recently redesigned a landing page to improve user journey clarity and load speed. The bounce rate dropped by 28%. My Portfolio - https://www.koustubhlapate.com/ Great design doesn’t just look good; it feels right to users. If you’re looking to refine your site’s UI/UX for real-world impact, I’m open for new freelance projects.

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Abhishek Thakur

Full Stack Developer || Smart Contract Auditor

Full Stack Developer || Smart Contract Auditor

Cover image for AI Trading Agent Development for Lighter Protocol

AI Trading Agent Development for Lighter Protocol

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Cover image for A clothing e-commerce website

A clothing e-commerce website

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Cover image for IMDB clone developed with ReactJs and TMDB API

IMDB clone developed with ReactJs and TMDB API

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Cover image for Color Hunt Replica

Color Hunt Replica

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I build secure and scalable web applications using MERN.

I build secure and scalable web applications using MERN.

Cover image for Food Delivery Admin Panel — MERN Dashboard for Menu & Orders...

Food Delivery Admin Panel — MERN Dashboard for Menu & Orders A full-stack admin panel for managing menu items and processing customer orders. Built with React, Node.js, Express and MongoDB, featuring role-based access, secure REST API endpoints and a clean UI to streamline restaurant operations. Live Link: https://food-del-admin-oju0.onrender.com/ GitHub: https://github.com/TusharKonala/food-del/tree/main/admin

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Cover image for Food Delivery Web App A full-stack MERN food delivery applic...

Food Delivery Web App A full-stack MERN food delivery application designed with two separate interfaces: a customer-facing React frontend for browsing meals, managing a cart and placing orders, and a dedicated admin panel for adding menu items, updating inventory and processing orders. The platform is powered by a secure Node/Express REST API with MongoDB database, role-based access control and scalable backend architecture — demonstrating complete end-to-end product development from UI to database. Live Link: https://food-del-frontend-zaiu.onrender.com/ GitHub: https://github.com/TusharKonala/food-del

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Cover image for Vidly is a production-ready backend movie rental API built u...

Vidly is a production-ready backend movie rental API built using Node.js, Express and MongoDB. Key capabilities include: • JWT authentication & authorization • Role-based access for admin and users • Strong request validation & centralized error handling • Secure CRUD operations with clean REST API architecture Vidly demonstrates my ability to build secure, scalable and maintainable backend systems suitable for business applications, SaaS products and admin panels. If you're looking to develop a backend API or a full MERN application for your business, I’m available for freelance work and collaboration. GitHub: https://github.com/TusharKonala/Vidly

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Cover image for GameHub - A Game Catalogue Web App Just finished building Ga...

GameHub - A Game Catalogue Web App Just finished building GameHub, a modern gaming platform UI built with React and TypeScript. The goal was to display large amounts of game data in a clean and responsive way, with filtering by genre, platform, rating and popularity. I focused on reusable components, smooth UI interactions and fast performance. If you’re looking to build a modern business website or dashboard with a clean and responsive UI, I’d be happy to help. Open to freelance opportunities — feel free to reach out! Live Link: https://game-hub-seven-ebon-45.vercel.app/ GitHub: https://github.com/TusharKonala/game-hub-adv

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Full Stack Developer | MERN | Next.js | TypeScript

New to Contra

Full Stack Developer | MERN | Next.js | TypeScript

Cover image for 🚀 Introducing PrepMate AI –

🚀 Introducing PrepMate AI – An AI-Powered Mock Interview Platform Over the last 2 months, I designed and developed PrepMate AI, a full-stack web application that helps candidates prepare for interviews through realistic AI-powered interview simulations. Rather than building a simple chatbot, I focused on creating a complete interview preparation ecosystem with voice interactions, performance analytics, learning resources, and personalized interview experiences. 💡 What I Built ✅ Authentication & Secure User Management ✅ Resume Upload & Role-Based Interview Generation ✅ AI-Powered Mock Interview System • Resume-based Questions • Project-based Questions • Technical Questions • Behavioral Questions • Scenario-based Questions • Dynamic Follow-up Questions ✅ Voice-Based Interview Experience • Speech Recognition • Speech Synthesis • Real-time Voice Interaction ✅ Interview Monitoring Features • Webcam Integration • Focus Tracking • Tab Switch Detection ✅ Analytics Dashboard • Performance Insights • Skill Evaluation • Progress Tracking • Strength & Weakness Analysis ✅ Personalized Learning Hub • Technical Interview Resources • Behavioral Preparation • HR Question Bank • AI-Powered Recommendations 🛠 Tech Stack React.js • Vite • Tailwind CSS • Node.js • Express.js • MongoDB • JWT • AI Integrations • Web Speech API This project strengthened my experience in: • Full Stack Development • AI Product Development • API Integrations • System Design • Database Architecture • User Experience Design 🔗 Live Demo https://prepmate-mu.vercel.app 📂 GitHub https://github.com/ I'm currently available for freelance projects involving: • React Applications • MERN Stack Development • AI-Powered Products • SaaS Platforms • Full-Stack Web Applications If you're looking for a developer who can take a product from idea to deployment, let's connect.

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Cover image for BookNWatch
Overview
BookNWatch is a full-stack movie

BookNWatch Overview BookNWatch is a full-stack movie ticket booking platform built using the MERN stack. The application enables users to explore movies, select seats in real time, complete secure online payments, and receive automated booking confirmations. The platform also includes administrative controls for managing movies, shows, bookings, and users. Problem Online ticket booking systems must handle concurrent seat selection, secure payment processing, booking confirmations, and automated seat management without creating conflicts or double bookings. Solution I developed BookNWatch to provide a seamless movie ticket booking experience with real-time seat selection, secure Stripe payments, automated booking workflows, and reliable seat management through background job processing. Features Movie Discovery & Show Listings Real-Time Seat Selection Seat Locking System Secure Stripe Payments Booking Confirmation Emails Automated Booking Expiry Clerk Authentication Protected Routes Admin Dashboard Responsive User Interface Technical Implementation Frontend React.js Context API Backend Node.js Express.js Database MongoDB Mongoose Authentication Clerk Authentication Payments Stripe Stripe Webhooks Background Processing Inngest Email Services Nodemailer Key Highlights Server-side seat locking prevents double booking Automated booking expiration after inactivity Stripe webhook-based payment verification Background job processing using Inngest Automated email notifications and confirmations Secure authentication and authorization Scalable REST API architecture Full administrative control panel Tools & Technologies Frontend React.js Context API Axios Backend Node.js Express.js Database MongoDB Mongoose Authentication & Payments Clerk Stripe Stripe Webhooks Automation & Communication Inngest Nodemailer Development & Deployment Git GitHub Postman Vercel Live Project https://book-n-watch-mu.vercel.app Source Code https://github.com/sahilnikalje/BookNWatch

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Cover image for SkillBridge AI
Overview
SkillBridge AI is an

SkillBridge AI Overview SkillBridge AI is an AI-powered interview preparation platform designed to help job seekers evaluate their readiness for specific roles. Users can upload their resumes and compare them against job descriptions to receive personalized interview preparation resources, skill gap analysis, and AI-generated interview questions. Problem Candidates often struggle to understand how well their skills align with a job description and what areas require improvement before interviews. Manual analysis is time-consuming and lacks personalized guidance. Solution I built SkillBridge AI to automate resume evaluation and interview preparation using AI. The platform analyzes resumes against job descriptions, generates tailored interview questions, identifies skill gaps, and provides actionable preparation recommendations within seconds. Features Resume Upload & Analysis Job Description Matching AI-Powered Interview Question Generation Skill Gap Analysis ATS-Friendly Resume Generation Personalized Preparation Roadmap Detailed Interview Reports JWT Authentication & Protected Routes Responsive User Interface Technical Implementation Frontend React.js Vite SCSS Context API Backend Node.js Express.js Database MongoDB Mongoose AI Integration Groq API LLaMA 3.3 70B Authentication JWT Authentication Token Blacklisting Key Highlights Resume and Job Description analysis powered by AI Generates tailored interview questions in under 10 seconds Secure authentication with token blacklisting Modular REST API architecture Feature-based project structure Responsive and scalable user interface Personalized interview preparation workflow Tools & Technologies Frontend React.js Vite SCSS Context API Axios Backend Node.js Express.js Database MongoDB Mongoose AI & Authentication Groq API LLaMA 3.3 70B JWT bcrypt.js Development & Deployment Git GitHub Postman Render Netlify Live Project https://skillbridge-ai-1-ku8j.onrender.com Source Code https://github.com/sahilnikalje/skillbridge-ai

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Cover image for UrbanBites
Overview
UrbanBites is a full-stack food

UrbanBites Overview UrbanBites is a full-stack food ordering platform built using the MERN stack. The application enables users to browse food items, manage carts, place orders, and complete secure online payments through Stripe. It also includes a dedicated admin panel for managing food items and monitoring customer orders. Problem Many food ordering systems require separate workflows for customers and administrators while maintaining secure payments and efficient order management. UrbanBites was built to provide a streamlined ordering experience with centralized administration and secure transaction handling. Solution I developed a complete food ordering platform with role-based functionality for customers and administrators. The application supports user authentication, cart management, order processing, payment integration, and administrative controls through a responsive web interface. Features JWT-based Authentication & Authorization Food Browsing and Search Shopping Cart Management Order Placement and Tracking Stripe Payment Integration Admin Dashboard Food Item Management Order Monitoring and Status Updates Responsive User Interface RESTful API Architecture Technical Implementation Frontend React.js Context API CSS Backend Node.js Express.js Database MongoDB Mongoose Authentication JWT (JSON Web Tokens) Payments Stripe Key Highlights Secure authentication and protected routes Integrated Stripe payment workflow Scalable REST API architecture Centralized state management using Context API Admin panel for platform management Full CRUD operations for food items and orders Live Project https://urbanbites-1-evzi.onrender.com Source Code https://github.com/sahilnikalje/UrbanBites

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Cloud Infrastructure Engineer | AWS, Serverless & AI Systems

Cloud Infrastructure Engineer | AWS, Serverless & AI Systems

Cover image for PDFConverterOnlineFree – Node.js PDF Tool
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PDFConverterOnlineFree – Node.js PDF Tool I built this project as a practical, real-world PDF tool that runs completely online and doesn’t rely on any database. The idea was simple — most PDF tools out there are either paid, slow, or store user files. I wanted to create something lightweight, fast, and privacy-friendly using open-source tools. 🔗 Project Link: https://github.com/deepakpatilauthor/PDF-Tool-Node-JS-Project What this project does This web app lets users: Convert PDFs to formats like Word, Excel, and images Convert files back into PDF Merge, split, and compress PDFs Use everything without signing up All files are processed temporarily and deleted automatically, so nothing is stored. How I built it I used Node.js for the backend and connected it with: Ghostscript for handling PDF operations like compression LibreOffice for document conversions The whole system is stateless (no database), which keeps it simple and fast. Why I built it this way I wanted to prove that you don’t always need paid APIs or heavy infrastructure to build something useful. With the right open-source tools, you can create a solid, production-ready app. What I learned Working with system-level tools like Ghostscript and LibreOffice Handling file uploads and processing efficiently in Node.js Building a clean workflow without relying on a database Thinking about performance and user privacy Final thoughts This project is a good example of how I approach building tools — keep it simple, make it useful, and avoid unnecessary complexity.

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Cover image for Clarity beats complexity.
I built this

Clarity beats complexity. I built this consequence map to cut through noise and see decisions for what they really are — trade-offs with outcomes. No guesswork, no overthinking. Just cause → effect, laid out clean. Good decisions aren’t luck. They’re mapped.

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Cover image for AI-Powered Document Summarizer & Chat System

AI-Powered Document Summarizer & Chat System

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Cover image for Event-Driven Serverless Pipeline for Unstructured Data on AWS

Event-Driven Serverless Pipeline for Unstructured Data on AWS

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AI-Native Full Stack Engineer

New to Contra

AI-Native Full Stack Engineer

Cover image for DQN Web3 Growth Engine

DQN Web3 Growth Engine

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Cover image for Bango On-Chain Prediction market

Bango On-Chain Prediction market

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Cover image for Builded and platform for DQN.org

Builded and platform for DQN.org (https://DQN.org) community management

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Cover image for I shipped an open-source package

I shipped an open-source package called Fold. Here's the problem it solves: When you build an AI agent that touches more than one data source S3, Slack, a local database, your filesystem you end up managing three or four different SDKs, auth flows, and API shapes before writing a single line of actual agent logic. Then you give your LLM a list of 12 tools and hope it picks the right one. Fold takes a different approach. It's a virtual filesystem. You mount any backend under a path prefix: /notes → your local Documents folder /db → a SQLite database /s3 → an S3 bucket /slack → Slack channels as directories /model → a locally running Ollama model Your agent gets one tool: bash. cat, ls, grep, wc, head, pipe across all of them. LLMs were trained on bash. They know it cold. Fold exploits that instead of fighting it. Three things I built that Mirage (the main prior art) doesn't have: Local-first. SQLite, local files, and Ollama are first-class resources. Everything can run on-device with zero data egress and zero API keys. Reactive. ws.watch (http://ws.watch)() lets any resource push events when data changes. Your agent triggers automatically no polling, no cron. Rich listings. ls -c returns metadata alongside filenames row counts, schemas, member counts, last activity. The agent understands the environment in one call instead of five. It also ships as an MCP server out of the box. One file and it's available in Claude, Cursor, or any MCP client. Published under The Builder Company: npm install @tbc-fold/node Repo: https://lnkd.in/g6EdaYEx (https://lnkd.in/g6EdaYEx)Website: https://lnkd.in/g6WjxGGd Built this alongside Aura. The two are related Fold is the abstraction that lets Aura's local agent work across your data without sending anything to the cloud. If you're building agents and hitting the multi-SDK problem, try it.

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Ex-Founder Building Complex AI Applications

Ex-Founder Building Complex AI Applications

Cover image for KPR | A WEB3 UI & Frontend Project

KPR | A WEB3 UI & Frontend Project

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Cover image for Creating an AI-powered Recommendation Engine

Creating an AI-powered Recommendation Engine

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Cover image for No-Code Workspace Automation

No-Code Workspace Automation

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