LOKESH KUMAR

EASTER SCIENCE

EASTER SCIENCE is a dynamic website by which you can get the following services for free.

• Previous years question papers.
• Question & Answer forms.
• Latest tech news.
• Big price pool contests info.
• Programming language solutions with video explanation.

EASTER TEXT EDITOR

A feature-rich desktop text editor built with Python and Tkinter, offering a polished GUI with multiple productivity tools built in.

• Write and format text with custom styles, colors, and fonts.
• Built-in text-to-speech conversion for any input text.
• Switchable color themes for personalized editing.
• Source code generator from a given URL.
• Integrated advanced calculator.

Technologies used: Python, Tkinter, Text-to-Speech, Pyinstaller

AUTO SERVICE REQUEST CREATOR

A desktop automation tool that parses raw text input and raises service requests automatically, eliminating repetitive manual data entry.

• Clean, responsive GUI for quick data entry.
• Requires only raw text as input — parses and structures it automatically.
• Displays parsed data for verification before submission to SharePoint.
• Reduced request creation time by 30 minutes per request.
• Two-click submission for maximum efficiency.

Technologies used: Python, Tkinter, Selenium, HTTP Requests, PyInstaller

QMOD MIGRATION (OpenVMS to AWS)

Migrated legacy MUMPS code from OpenVMS to a cloud-native environment on AWS, following Agile methodology.

• Converted OS-dependent MUMPS commands to platform-independent ObjectScript code.
• Used InterSystems IRIS and PowerTerminal for development, with ZMONLBL for unit testing.
• Created comprehensive test documentation with execution time benchmarks.
• Deployed production code to AWS using StarTeam for version control.

Technologies used: Linux, ObjectScript, Python, InterSystems IRIS, AWS

CREDIT CARD BILL REMINDER

A Python script that consolidates all credit card information in one place by automatically reading bank statements from email.

• Parses monthly credit card statements from email inbox and stores data in MySQL.
• Extracts data from both email body and attached PDF files.
• Provides a unified view of all cards: total limit, remaining limit, outstanding amount, due date, and days remaining.
• Reduced manual tracking time by 30 minutes per billing cycle.
• Filters emails intelligently using subject-line keywords.

Technologies used: Python, MySQL, Email Parsing, PDF Extraction

Company Distribution Management Tool

Description: Optimized a Django-based distribution management platform for improved performance and reliability. Implemented client-side processing, optimized SQL queries with views and indexing, minified static assets, and converted images to WebP/AVIF formats. Integrated Redis caching to reduce page load times by 40%. Migrated legacy Outlook REST API calls to Microsoft Graph API for improved stability.

Technologies used: Python, Django, SQL, Redis, Microsoft Graph API, WebP, AVIF

Application Metrics Tool

Description: Built a standalone application monitoring dashboard using Streamlit. Designed database schemas and REST APIs to collect data from multiple applications, storing metrics, error logs, and performance data for real-time visualization and troubleshooting.

Technologies used: Python, Streamlit, REST APIs, SQL

PDF Blue Link Validator

Description: Developed a tool to detect and validate hyperlinks in PDF documents. Optimized processing by storing file hashes in a database to skip previously scanned files. Supports scanning individual files, entire directories, or nested subdirectories. Saved approximately 5 minutes per PDF compared to manual link checking.

Technologies used: Python, PDF Processing, Database, Hashing

Automated Report Generation

Description: Built a web application that extracts structured data from PDF and Word documents, then generates comprehensive MS Word reports. Implemented a configurable mapping system to route extracted data into specific sections and subsections, ensuring accurate formatting and organization. Streamlined document generation workflows, significantly reducing manual report assembly time.

Technologies used: Python, PDF Processing, python-docx, Data Extraction, FastAPI

Agentic AI RAG System

Description: Built an AI-powered chat system that answers user questions based on uploaded documents using a Retrieval-Augmented Generation (RAG) pipeline. Documents are embedded using nomic-embed-text and stored in a Chroma vector database. Queries are processed through Ollama 3.2 with DeepSeek R1 as the LLM, providing accurate, context-aware responses grounded in the uploaded content.

Technologies used: Python, LangChain, Chroma, Ollama 3.2, DeepSeek R1, RAG, Embeddings

Orca (Django WebApp)

Description: A Django web application that automates product release notifications. When a new product version is published, the system automatically notifies all registered distributors and partners via email, ensuring timely communication across the supply chain.

Technologies used: Python, Django, Email Integration, PostgreSQL

Lucky Tailor (Website)

Description: A responsive catalog website for a tailoring business, showcasing services, seasonal offers, pricing, and contact information. Designed for mobile-first browsing to help local customers discover and connect with the business easily.

Technologies used: HTML, CSS, JavaScript, Responsive Design

Easter Music Player

Description: A web-based music streaming application that supports live radio playback. Features a clean player interface with play/pause controls, track progress, and channel selection for a seamless listening experience.

Technologies used: HTML, CSS, JavaScript, Web Audio API

Copy Trading

Description: An automated cryptocurrency copy trading system that mirrors trades from a master Binance account to one or more follower accounts in real time. Supports both SPOT and Futures markets, handling order types, position sizing, and execution synchronization across accounts.

Technologies used: Python, Binance API, WebSocket, Async Programming

Resume Scanner

Description: A REST API that analyzes resumes against job descriptions to produce a compatibility score. Parses uploaded resumes, extracts key skills and experience, and compares them with job requirements using text matching and NLP techniques to help recruiters shortlist candidates efficiently.

Technologies used: Python, FastAPI, NLP, Text Processing

Email Address Validity and Deliverability

Description: A validation tool that checks whether an email address is syntactically correct, has valid DNS/MX records, and is deliverable via SMTP handshake. Helps maintain clean mailing lists by identifying invalid, disposable, or undeliverable addresses before sending.

Technologies used: Python, SMTP, DNS Lookup, Email Validation

SmartAuth

Description: SmartAuth automates the end-to-end prior authorization workflow for healthcare payers. It ingests PDF forms, scanned images, and EDI 278 files, uses AI (Textract + Bedrock) to extract and validate patient, provider, and clinical data, then applies configurable business rules to auto-approve, flag for review, or determine no auth is needed.

Technologies used: Python, FastAPI, React, Redux, AWS Bedrock (Claude), AWS Textract, SQLite, Material-UI

DuctVision

Description: An HVAC duct detection and measurement tool that automatically identifies rectangular ducts and pipes in mechanical engineering PDF drawings using multi-layer computer vision. Extracts drawing scale via OCR, converts pixel measurements to real-world feet-inches, and provides an interactive web viewer for reviewing, editing, adding, and repositioning detected ducts. Features include drag-and-drop pipe movement, corner resize handles, live measurement updates, and JSON export.

Technologies used: Python, FastAPI, OpenCV, NumPy, Tesseract OCR, PyMuPDF, React, TypeScript, Docker