Sahil Nikalje's Work | ContraWork by Sahil Nikalje

Sahil Nikalje

Full Stack Developer | MERN | Next.js | TypeScript

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Pune, India

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Pune, India

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

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

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

🚀 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.