Document Extractor
Document Extraction is an intelligent document processing platform that uses OCR and machine learning to automatically extract and organize data from images and PDFs, enabling fast, accurate, and structured information retrieval.
Latest Projects
captcha Generator
The Captcha Generator project focuses on enhancing web security by creating randomized image-based or text-based captchas to prevent automated bot access. The system generates dynamic captchas with varying fonts, backgrounds, and noise patterns, ensuring uniqueness and difficulty for bots to bypass while remaining readable to humans
Object detection
The Object Detection project leverages the YOLO (You Only Look Once) deep learning model to detect and classify multiple objects in real time from images and video streams. The system is optimized for speed and accuracy, capable of identifying objects with bounding boxes and labels in a single forward pass. Built with Python, OpenCV, and PyTorch/TensorFlow, the project demonstrates applications in surveillance, autonomous driving, and image analysis, achieving high detection accuracy with minimal latency.
Scholar check
Scholar Check is a student eligibility verification system designed to automate and streamline the process of validating college student details. By integrating data validation and face recognition techniques, it minimizes manual effort and errors while improving accuracy. The system achieved 73% accuracy in verifying student information across multiple parameters, making it a reliable tool for academic institutions.
Problem Solving
Pseudo-Encryption String Transformation
This problem is about implementing a pseudo-encryption algorithm. You are given a string S and an integer N. The algorithm works by rearranging the string: in each step, you take all the characters at odd indices and concatenate them with the characters at even indices. This transformation is repeated exactly N times. The goal is to return the final string after performing the process, simulating a simple form of string-based encryption.
Unique Cave Elements Discovery
Given a list of caves (each a list of element names) and a list of known elements, return the unique elements found across all caves that aren’t already known, preserving the order of first appearance. This involves scanning nested lists, filtering by membership, and de-duplicating results.
Minimum Boot Changes on a Hiking Trail
Given a hiking trail which varies in difficulty level at different locations, you are given an integer representing the total number of boxes that can carry tools. Each location/toolbox has its own set of trails it can reach. Calculate the minimum number of toolboxes required to reach all locations.
Latest Blogs
Artificial Intelligence Fundamentals
Artificial Intelligence (AI) Fundamentals is the study of core concepts, techniques, and applications that enable machines to mimic human intelligence. It introduces the foundations of AI, including problem-solving, search algorithms, knowledge representation, reasoning, and decision-making. Learners gain an understanding of supervised, unsupervised, and reinforcement learning methods, along with natural language processing, computer vision, and robotics.
Oracle Database for developers
Oracle Database for Developers focuses on equipping developers with the skills to design, build, and manage applications that interact efficiently with Oracle’s relational database system. It covers SQL and PL/SQL programming, database design principles, stored procedures, triggers, functions, and performance optimization techniques.
Let's Talk
Do you want to learn more about how I can help your company overcome problems? Let us have a conversation.