Freelancers using Next.js in West Bengal

Freelancers using Next.js in West BengalFreelancers using Next.js in West Bengal

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Kharagpur, India

Full-stack developer and founder building real-world product

New to Contra

Full-stack developer and founder building real-world product

Cover image for I built this because I

I built this because I was annoyed. I was paying monthly for a study library seat, and I still couldn't reliably tell if a seat would be free when I showed up. No way to check online, no way to book ahead just calling around or walking in and hoping. I figured if this was frustrating me, it was frustrating thousands of students across India who rent library/reading-room seats the same way. So I built Studoo (https://studoo.aithro.in/)and Padhloo (https://padhloo.aithro.in/)two connected products at Aithro (https://aithro.in/products)- Padhloo (student side): search study spaces by city/price/amenities, see a live seat map, request a specific seat for 1-12 months, and track your bookings, dues, and payments in one place. It also gamifies actually showing up — QR check-in/out, study streaks, points, badges, a leaderboard — so students stay consistent, not just book-and-forget. Studoo (owner side): the dashboard library/reading-room owners use to list their space, manage seat inventory and pricing per slot, approve or reject booking requests, chase due payments automatically, and see real analytics (occupancy, revenue, which slots to reprice). Free tier + two paid plans. You can see product demo video here - https://youtu.be/9Yex73MIYqQ?si=jfWqLxisRTM9N_28 I designed and built the full product end-to-end — the booking/approval workflow, the seat-and-slot inventory model, the QR-based geofenced attendance system, the payments/dues tracking, the subscription tiers, and the whole gamification layer (points, streaks, badges) on the student side. Where it stands: Got our first paying customer, a real library owner in Patna paying for the Growth plan, which is the moment this stopped being a side project and started being a business. Reached the Grand Finale of Empresario 2026 (IIT Kharagpur E-Cell), selected out of 3,000+ global registrations. Won the Platinum Jubilee Innovation Challenge (Deep Tech) at IIT Kharagpur's 75th anniversary event. What I'm good at, based on building this: turning a messy real-world workflow (owner approves seat → student pays offline → both sides need to trust the same numbers) into a system that's simple enough for a small business owner with no tech background to actually use — while still handling the edge cases (partial payments, overlapping slots, expiring bookings, geofenced check-ins) correctly under the hood. If you're a small business or founder who needs a web app or an AI-automation workflow built and shipped fast, not just prototyped that's exactly the kind of problem I like solving. Happy to talk about your project.

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Cover image for SpeakYield - voice-first agri-commerce platform

SpeakYield - voice-first agri-commerce platform for Indian farmers This one came out of a government hackathon problem statement, but the problem itself is real and ugly: a smallholder farmer in Maharashtra selling onions knows yesterday's price at exactly one mandi, usually from the same commission agent who's also buying from them. They can't see the market 40km away, can't see what a processor or exporter would pay, and often sell right after harvest at the seasonal low because they need cash now, not because it's the best time to sell. Every step of that chain - price, buyer trust, quality grading, transport, payment - quietly leaks money out of the farmer's pocket. I built SpeakYield to close that gap, and built it voice-first because the people this is for often can't or won't use a text-heavy app. A farmer can literally say "I want to sell 12 quintals of onion, I need ₹40,000 right now" in Marathi/Hindi, and the app: Parses that into a structured request and reads it back for confirmation before anything commits - nothing moves on a guess Shows every nearby buyer's price as net-in-hand, after transport, commission, and fees - not the misleading headline mandi rate Recommends sell-now / split / hold based on the farmer's actual cash need, not just a price chart Ranks competing buyer offers by what the farmer actually banks, weighted by the buyer's payment-reliability history Runs the full deal lifecycle — offer, logistics, milestone payments, dispute filing — on one transparent, tamper-evident record What I built: the full stack — Next.js/TypeScript frontend, FastAPI backend, the voice pipeline (speech-to-text → LLM intent parsing with strict schema validation → text-to-speech read-back), the buyer-matching and net-price ranking engine, and the deal/ledger system. Solo project, ~12 commits from architecture to a working two-sided prototype (farmer view + buyer view), with CI, linting, and end-to-end tests. Stack: Next.js, TypeScript, FastAPI, Python, LLM-based voice intent parsing, PostgreSQL/Redis (production design) I like this kind of problem specifically because it's not "build a CRUD app" — it's translating a messy, high-stakes, low-trust real-world transaction into software that has to work for someone with a ₹6,000 phone and patchy network, not a power user. If you need someone who can take a genuinely fuzzy problem (multi-party trust, real-time matching, voice/AI interfaces) and turn it into a working product fast, that's exactly this.

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Cover image for This one started from a

This one started from a very ordinary campus problem: every semester, thousands of IIT Kharagpur students either haul stuff home they'll never use again, or buy new when a senior literally has the same thing sitting unused two hostels away. There was no trusted way to buy and sell second-hand on campus, just scattered WhatsApp groups where you can't verify who you're actually dealing with. I built ThriftKGP to fix that, a campus-only marketplace where every listing is tied to a verified institute identity, so you're never buying from a stranger off the internet, you're buying from another IITKGP student. Beyond the basic buy/sell flow, I built out four core modules that make it actually usable at scale: request boards (post what you're looking for instead of only browsing what's listed), wishlists, a review system so reputation carries across transactions, and an admin dashboard for oversight. I also automated listing moderation and buyer-request matching with event-driven background jobs, which cut down manual moderation work substantially, important once you're serving 16,000+ potential users and can't manually vet every post. Stack: React, Node.js, Express, MongoDB, Tailwind CSS It's since been recognized with a SELF RISE Innovation & Prototype Grant as a campus-wide second-hand marketplace concept. If you're building a marketplace, community platform, or anything that needs trust and verification baked into peer-to-peer transactions, that's squarely in my wheelhouse.

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Cover image for Built for the Accenture Innovation

Built for the Accenture Innovation Challenge (Round 2), this one tackles a problem most companies rolling out AI don't think about until it bites them: if you're running several different LLM-powered features at once — a customer support bot, an internal knowledge assistant, a tool inside a regulated decision workflow — each one needs a completely different level of scrutiny. A support bot can tolerate more risk and needs to respond fast; a regulated decision-support tool needs to be slow, careful, and willing to hold a response for human review rather than guess. AuRizz is a middleware layer that sits between an enterprise's LLM provider and its users and decides, per use case and in real time, whether a generated response should go through as-is, get redacted, get held for a human, or get blocked outright. What made this a genuinely hard build, not just an API wrapper: Policy-driven, not hardcoded. Every behavioral difference between use cases — which checks run, their thresholds, what happens on failure — lives in YAML config, not in application code. Switching a deployment's risk posture is a config edit, not a redeploy. Confidence as a first-class signal. Every check returns both a risk score and a confidence in that score — a high-risk-but-unsure reading routes to human review instead of auto-blocking, which is the actual fix for alert fatigue. Multi-provider by design. Works with Anthropic, OpenAI, Gemini, or Groq behind one interface, with automatic runtime fallback if a provider fails — switching providers is a one-line config change, not a rewrite. A real audit trail. Every decision is written to a hash-chained, tamper-evident log, and human overrides are appended as new records rather than edits — so the fact that the system said block and a human said allow is preserved, not erased. Built to be tested. 104 tests run the full pipeline — detectors, aggregation, decision rules, the audit chain — with no network calls or API keys required, because everything is built against interfaces, not vendor SDKs directly. I worked on this with a teammate — I focused on architecture, pipeline, backend, and we split the detector logic, policy engine, and audit system between us. Stack: Python, FastAPI, React, TypeScript, Pydantic, SQLite, multi-provider LLM integration (Anthropic/OpenAI/Gemini/Groq) Status: this is a working prototype, not a deployed product — the source is public and the full pipeline runs locally with real API calls or offline in the test suite, but it hasn't been hosted or put in front of real traffic yet. If you're building anything where AI output needs a guardrail — content moderation, compliance-sensitive automation, multi-agent systems that need oversight — this is exactly the kind of system design problem I enjoy.

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AI Engineer

AI Engineer

Cover image for AI chatbot built for a

AI chatbot built for a roofing business to handle site visitors 24/7. Homeowner engages instantly, books an inspection straight into Calendly without leaving the chat, and gets an automatic email confirmation with the calendar link while the lead's details route to the owner in real time. No missed forms, no delayed callbacks, no lost leads to competitors who answer faster.

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Cover image for When someone visits your gym’s

When someone visits your gym’s website, they are at peak motivation. But if they fill out a form or interact with a chatbot, and no one follows up for hours (or days), that motivation cools down. They open another tab and look at the gym down the street. In the competitive fitness industry, speed-to-lead is your ultimate retention and growth strategy. ⚡️ Here is exactly how this seamless, dual-action AI workflow locks in memberships on autopilot: Phase 1: The Smart Homepage Chatbot 🤖 | A prospective member lands on your site and asks about pricing, classes, or amenities. The AI instantly handles their questions, captures their contact info, and segments them by fitness goals. Phase 2: The Instant AI Voice Agent 📞 | The second they drop their number, the system triggers a conversational AI voice agent. Within seconds, their phone rings. The AI agent connects with them dynamically, overcomes objections, and instantly schedules their first club tour or personal training assessment. The Result for Club Owners? No missed leads when your front desk staff is busy checking in members or running classes. Your website turns into a 24/7 lead-capture machine, and your calendar fills up with hot, confirmed appointments completely hands-free. Stop letting your website traffic walk away. Scale your member acquisition without adding to your team's administrative burden. 🚀 Want to deploy this exact speed-to-lead chatbot and voice ecosystem in your fitness facility? Drop a "GYM" in the comments below, and let’s connect! 👇

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Cover image for Solar lead fills a form

Solar lead fills a form on your site. 🌞 In the next 2 minutes, here's what happens automatically: 📩 SMS sent to customer 💬 WhatsApp sent to customer 💬 WhatsApp sent to owner 📧 Email sent to owner (full lead details) 📧 Email sent to customer 📊 Google Sheet updated 🗂️ CRM updated Zero manual work. Zero delay. Most solar companies still respond in hours sometimes days. By then the lead already called your competitor. Built this exact pipeline for a solar client. Speed to lead is the single biggest lever in this industry right now. If your team is still doing this manually happy to show you the full build. DM or comment "SOLAR.

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Cover image for Customer opens the chatbot on

Customer opens the chatbot on a solar website. 🌞 Books an appointment. Types in their details. Here's what fires automatically in seconds: ✅ Details captured & saved 📩 SMS → customer 💬 WhatsApp → customer 📧 Email → customer 💬 WhatsApp → owner 📧 Email → owner (full lead details) 📊 Google Sheet updated 🗂️ CRM updated No form. No hold music. No "someone will call you back." Just a chatbot handling the entire booking-to-notification chain while the owner does everything else. This is what lead capture should look like in 2026. Built this exact flow for a solar client. If your team's still manually logging appointments and chasing follow-ups DM me or comment "SOLAR."

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Sangeet Banerjee

Innovative Web & Blockchain Developer 🚀

Innovative Web & Blockchain Developer 🚀

Cover image for Meetlink: A Web3 video conferencing solution!

Meetlink: A Web3 video conferencing solution!

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Cover image for Morenote: An extensive note book for Devs

Morenote: An extensive note book for Devs

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Cover image for Datareum: Decentralized Health Data Exchange

Datareum: Decentralized Health Data Exchange

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Abdun Noor Faruki Biswas

Next.js Expert: Fast, Scalable Web Solutions

Next.js Expert: Fast, Scalable Web Solutions

Cover image for Portfolio Website

Portfolio Website

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Cover image for E-boi, a Landing Page to Sell E-books

E-boi, a Landing Page to Sell E-books

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Cover image for A Custome Website For Coaching to Manage Administrative Work

A Custome Website For Coaching to Manage Administrative Work

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Senior Full-Stack, AI & Mobile App Developer | 10+ Yrs

New to Contra

Senior Full-Stack, AI & Mobile App Developer | 10+ Yrs

Cover image for Eco Village – Real

Eco Village – Real Estate Website Development Designed and developed a modern, responsive website for Eco Village, a premium real estate township project. The website was created to showcase the project's vision, amenities, property information, and investment opportunities while delivering an engaging user experience. 🔹 Key Features: • Responsive Website Design • Project Showcase Pages • Amenities & Facilities Section • Lead Generation Forms • SEO-Friendly Structure • Fast Loading Performance • Mobile-Friendly User Experience Technologies Used: React.js, Next.js, JavaScript, Node.js, Bootstrap Live Website: https://eco-village.co.in Role: Frontend & Full Stack Website Developer

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Cover image for Step To Soft –

Step To Soft – Software Development & IT Services Platform Developed and maintained a professional software development and IT services platform showcasing web development, mobile app development, AI solutions, cloud services, and dedicated development teams. 🔹 Key Features: • Company Portfolio Website • Service Showcase Pages • Dedicated Developer Hiring • Web & Mobile Development Services • SEO-Friendly Architecture • Responsive UI/UX • Lead Generation & Contact System Technologies Used: React.js, Next.js, Node.js, JavaScript, TypeScript, MongoDB, REST APIs Live Project: https://www.steptosoft.com Role: Full Stack Developer

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Cover image for Marengo Asia Hospitals – Healthcare

Marengo Asia Hospitals – Healthcare Website Platform Developed and maintained a modern healthcare and hospital management web platform for Marengo Asia Hospitals. The platform provides seamless access to hospital information, doctor search, appointment booking, patient services, and healthcare resources. 🔹 Key Features: • Hospital & Doctor Search • Online Appointment Booking • Patient Portal Integration • Responsive User Interface • Multi-location Hospital Management • SEO-Friendly Architecture • Performance Optimization Technologies Used: React.js, Next.js, Node.js, JavaScript, REST APIs, Bootstrap Live Project: https://www.marengoasiahospitals.com Role: Full Stack Developer

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Cover image for Deal On Property –

Deal On Property – Real Estate Marketplace Platform Developed a modern real estate marketplace platform that helps users buy, sell, rent, and lease properties. The platform features advanced property search, filters, property listings, user authentication, admin dashboard, and responsive UI/UX. 🔹 Key Features: • Property Buy, Sell, Rent & Lease Listings • Advanced Search & Filtering • User Authentication & Authorization • Admin Dashboard • Property Image Upload • Responsive Design • SEO-Friendly Architecture Technologies Used: React.js, Next.js, Node.js, Express.js, MongoDB, JavaScript, Bootstrap, REST APIs 🌐 Live Project: https://dealonproperty.com 👨‍💻 Role: Full Stack Developer

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Sumalya Chatterjee

Expert Next.js Frontend Developer – Fast & Responsive

Expert Next.js Frontend Developer – Fast & Responsive

Cover image for Resume Builder App Development

Resume Builder App Development

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Cover image for Papyruss: Online Drawing & Handwritten Notes Canvas

Papyruss: Online Drawing & Handwritten Notes Canvas

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Cover image for Development of CodeEditorPro Online Code Editor

Development of CodeEditorPro Online Code Editor

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Cover image for RizzGPT: AI-Powered Dating Tips Web App

RizzGPT: AI-Powered Dating Tips Web App

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Full-stack software developer

$10k+: Earned

100x: Hired

5.0: Rating

18: Followers

Expert

Full-stack software developer

Cover image for Fixing Analytics & Migrating a Compound Review SPA to Next.js

Fixing Analytics & Migrating a Compound Review SPA to Next.js

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Cover image for B2B Email Verifier

B2B Email Verifier

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Cover image for Database App

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Cover image for Building a Credit-Based Service Marketplace from Scratch

Building a Credit-Based Service Marketplace from Scratch

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AI-First Full-Stack Developer · Framer, Webflow & Automation

AI-First Full-Stack Developer · Framer, Webflow & Automation

Cover image for Aperture — Cinematic Film Studio
A

Aperture — Cinematic Film Studio A one-page site for a film & motion studio, designed and hand-coded to feel like a title sequence instead of a template. It opens with an animated intro counter, then moves through a parallax hero, a client marquee, and a word-by-word statement reveal. Built from scratch (no page builders) with HTML, CSS, and JavaScript, using GSAP + ScrollTrigger for motion and Lenis for smooth scrolling. Highlights: custom cursor, CMS-style selected-work grid, interactive services list, and animated stat counters — fully responsive, fast, and zero build step. Live: https://anikdascodes.github.io/01-film-studio/ Stack: HTML · CSS · JavaScript · GSAP · ScrollTrigger · Lenis

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Cover image for The whole spot is basically

The whole spot is basically one shot: a woman in soft morning light, applying a serum, then looking out the window. That's it. No big set. No over-styling. The ad works because the skin does the talking — the shine on the cheekbone, the way the light catches it, that "my skin finally looks right" look. Most beauty ads oversell the product. This one just shows the result. If you run a skincare or beauty brand and want ad creative like this, my DMs are open. #skincare #beautyad #adcreative #creativeadvertising

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Cover image for 15-second men's skincare demo ad

15-second men's skincare demo ad — made entirely with AI text-to-video. Three shots. One clean transformation. Tired, dull skin in the mirror. Product in hand. Smooth application. Same mirror, new glow. No studio, no actors, no shoot day. Just a text prompt and a video model. The "before and after" format still works — now it just generates faster.

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Cover image for New Project Drop: Ghibli-Inspired Morning

New Project Drop: Ghibli-Inspired Morning Commute 🚲✨ Bringing 7 individual anime scenes together into one cohesive, 70-second narrative sequence. The key challenge on this edit was pacing: eliminating dead container frames and background flashes across scene boundaries to create a fluid, continuous flow where each cut feels alive. 🎬 Format: 16:9 Cinematic Widescreen (1080p) ⏱️ Duration: 1:10 (7 Scenes @ 10s each) 🛠️ Workflow: Micro-trimming, timeline assembly, chapter synchronization #VideoEditing #MotionDesign #Storytelling #ContraCreatives #AnimeEdit

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