Sandesh Pawar

HandWritten PDF to Typed PDF is a web-based application that converts handwritten PDF documents into clean, readable typed PDFs. The system allows users to upload scanned or handwritten files, extracts text using OCR (Optical Character Recognition), and generates a properly formatted digital document.This project aims to simplify the process of digitizing handwritten notes, assignments, and documents, making them easier to store, edit, and share. It provides a fast, user-friendly interface and helps improve accessibility and productivity for students and professionals.

Allows users to search for movies and view detailed information in real time. The app fetches data from the TMDB API and displays movie details with filters for Hollywood and Bollywood.

The Bookstore REST API is a backend application built using Node.js, Express, Drizzle ORM, and PostgreSQL, designed to manage books and authors with proper relational database principles. The project implements UUID-based primary keys, foreign key relationships, and referential integrity, ensuring that every book is associated with a valid author.

I developed a production-ready URL Shortener Backend using Node.js, Express.js, PostgreSQL, and Drizzle ORM that allows users to securely generate and manage shortened URLs with JWT-based authentication and salted password hashing. The project includes RESTful APIs for user registration, login, URL shortening, and redirection, along with relational database design using PostgreSQL foreign key relationships. I also integrated Docker for containerized backend and database setup, used Zod for request validation, and NanoID for generating unique short codes, making the system scalable, secure, and deployment-ready.

A full-stack Movie Booking System web application that allows users to browse movies, select theatres and show timings, choose seats in real time, and securely book tickets through an integrated online payment gateway. The platform provides a smooth and interactive booking experience with dynamic seat management, user authentication, and admin controls for managing movies and shows. The project is built using modern web technologies with a scalable backend, database integration, and Razorpay payment support, making it a complete real-world cinema ticket booking solution.

beHonest is an AI-powered Lost & Found platform designed specifically for college campuses. The platform helps students recover lost belongings securely while encouraging honest behavior through a fair reward system. In traditional lost-and-found systems, students who find an item often do not know its owner, and students who lose an item have no efficient way to locate it. beHonest solves this problem by providing a centralized digital platform where found items and lost item reports can be uploaded, matched, verified, and returned safely.