I'm MohanRaja, a Software Development Engineer.
I am currently working as a Software Development Engineer and Product Engineer at a startup company, specializing in building end-to-end scalable products. I focus on architecting robust solutions, developing efficient systems, and delivering high-quality software that drives business growth and innovation.
Live Coding Profiles & Stats
LeetCode Profile
@Mohan_06GeeksforGeeks Profile
@mohandxzlWhat I Do?
As a Developer, I solve competitive problems and build projects that address real-time challenges. I am passionate about crafting efficient, scalable solutions through clean code and innovative thinking. Continuously learning and adapting, I strive to contribute to impactful technologies that make a difference.
Technologies
Latest Projects
Check out some of my latest projects with creative ideas.
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Cyber Security
Facial Intruder Alert System
The Facial Intruder Alert System is a cybersecurity-powered security solution that continuously monitors personal devices using real-time facial recognition. It detects unauthorized access attempts and issues immediate alerts through pop-ups, phone calls, and email notifications. The system can lock the device, track multiple faces, and respond to suspicious behavior such as camera obstruction. Designed to operate independently of OS-level security, it offers robust protection in shared or public environments.
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Machine Learning
AI powered Vulnerability Scanner
The AI-powered Vulnerability Scanner is an intelligent security analysis system that combines pattern-based techniques with machine learning to detect complex and context-specific code flaws. It performs static code analysis using methods like regex matching, AST parsing, and control flow inspection for comprehensive vulnerability detection. Machine learning models enhance accuracy by classifying threats and reducing false positives. Designed for seamless integration into development workflows, the system offers automated remediation, detailed risk reports, and real-time feedback to strengthen software security throughout the development lifecycle.
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MERN Stack
GroNow - Ecommerce Application
GroNow – Ecommerce Application is a full-featured online shopping platform designed to manage and sell multiple products efficiently. It provides a seamless user experience with features like product browsing, smart search, secure checkout, and real-time order tracking. The system includes a powerful Admin Dashboard where administrators can add, update, or remove products, manage inventory, monitor orders, and analyze sales performance through intuitive analytics. Built for scalability and smooth performance, GroNow ensures fast loading, responsive UI, and a reliable shopping workflow. This complete ecommerce solution supports end-to-end product management and offers a modern, efficient retail experience for both customers and admins.
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IOT & Full Stack
Micro Grids Monitoring App
Microgrids Monitoring App is an intelligent, real-time monitoring solution designed to ensure reliable, efficient, and sustainable operation of microgrid systems. It collects live data from distributed energy sources, storage units, and load points, providing clear insights into power generation, consumption, and grid health. The application offers dashboards for fault detection, performance analytics, and predictive maintenance, enabling operators to identify anomalies early and make data-driven decisions. With features like alert notifications, remote supervision, and seamless integration with IoT sensors, this solution supports resilient energy management—making it ideal for Smart India Hackathon (SIH) problem statements focused on smart grid modernization and energy optimization.
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Saas Product
Easyjobs
AI-Powered Resume Builder & Job Aggregator (SaaS) is a Pay-As-You-Go platform developed for educational and training institutions to streamline career preparation and job discovery. The system generates ATS-optimized resumes with customizable one-page or two-page formats, ensuring an 80+ compatibility score to maximize recruiter visibility. Integrated with a real-time Job Aggregator hosting 100,000+ active global openings, the platform enables advanced filtering and instant applications using high-ATS resumes. By unifying intelligent resume creation and large-scale job discovery, the product accelerates candidate placement and enhances career success outcomes.
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Full Stack + NLP
ReadMode
Readmode is a focus-driven, user-centric reading platform designed to deliver a calm, structured, and distraction-free digital reading experience. It enables users to upload books, PDFs, and documents, transforming them into intelligently segmented layouts that enhance comprehension and retention. The platform offers deep personalization through customizable reading speed, typography, visual themes, transition effects, and adaptive speed adjustments based on sentence complexity. With built-in performance insights and immersive controls, Readmode empowers readers to optimize focus, track progress, and achieve a more meaningful and productive learning journey.
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Machine Learning
Agentic AI for Business Analysis
Agentic AI for Business Analysis is an intelligent, autonomous system designed to analyze business data, identify patterns, and deliver actionable insights with minimal human intervention. It combines advanced reasoning models with real-time data processing to evaluate performance, forecast trends, and suggest strategic decisions. The system can automatically break down complex business queries, retrieve relevant information, and generate clear, context-driven reports. Users can also switch to a general AI chat mode for open-ended discussions, enabling seamless exploration of business scenarios. Built for adaptability and precision, Agentic AI enhances decision-making, boosts operational efficiency, and empowers organizations with dynamic, insight-rich analysis.
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RAG (Retrieval Augmented Generation)
AI powered Study Buddy
RAG AI is an intelligent, retrieval-augmented system that ingests content from uploaded PDFs or website links and delivers accurate, context-aware answers based on user queries. It combines document-based search with generative AI capabilities to ensure high relevance and precision in responses. Users can switch to a general AI chat mode for open-ended conversations, similar to ChatGPT functionality. Designed for flexibility and efficiency, RAG AI enhances knowledge access and delivers dynamic, real-time insights.
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MERN Stack
Task Manager
Task Manager is a streamlined productivity application designed to help users organize, track, and manage their daily activities with ease. It enables users to create tasks, set priorities, assign deadlines, and monitor progress through a clean and intuitive interface. The system supports task categorization, status updates, and reminders to keep users on schedule. With efficient data handling and a user-friendly workflow, the Task Manager simplifies planning, boosts productivity, and ensures that important tasks are completed on time.
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Frontend Development
IIPC Website
This project delivers a dedicated web portal for the IIPC at Kongu Engineering College, showcasing its mission of bridging academia and industry through diverse collaborative initiatives. Visitors can explore comprehensive information on achievements, consultancy services, testing facilities, training programmes, and signed agreements (MoUs). The site highlights key activities like faculty industrial training, energy audits, student internships and industrial projects, and research collaborations. It also presents impressive milestones—such as revenue generation, industry partners, and the number of students trained—alongside structured navigation for seamless access to services. Overall, the website serves as a polished and functional platform to communicate the operations, objectives, and impact of the IIPC effectively.
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Web Development
Wifi and Password Management portal
The Wi-Fi and Password Management Portal is an official platform that enables students, faculty, and staff to securely access and manage their campus network credentials. It provides an easy interface for registering devices, viewing connection details, and updating or resetting Wi-Fi passwords. The portal ensures secure authentication and smooth connectivity across the campus network. It also offers guidelines for proper configuration, helping users maintain both convenience and data security. Designed for reliability, the system supports uninterrupted internet access for academic and administrative activities.
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MERN Stack
Family Budget Management System
The Family Budget Management System is a full-stack web application developed using the MERN stack (MongoDB, Express.js, React.js, Node.js) to help families efficiently plan and track their finances. It allows users to record income and expenses, categorize transactions, and monitor budget limits in real-time. The React-based frontend provides an intuitive and responsive interface, while the Node.js & Express backend handles secure API requests. MongoDB stores financial data, ensuring easy retrieval and analytics. The system also offers budget summaries, spending insights, and visual charts to help families make informed financial decisions.
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Full Stack
KEC Asset Management System
KEC Asset Management Website is a comprehensive digital platform designed to streamline the tracking, management, and monitoring of institutional assets at Kongu Engineering College. The system allows administrators to record, categorize, and update asset information—including equipment, lab resources, and infrastructure—in a centralized and user-friendly interface. It supports smart search, status updates, maintenance logs, and real-time asset availability checks, ensuring transparency and efficient resource utilization. With role-based access, secure data handling, and a clean responsive design, this platform enhances operational efficiency and enables hassle-free asset management for departments across the institution.
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Frontend Development
KEC Education WebPage
The KEC Education Page has been designed with a modern and visually appealing user interface to enhance the browsing experience for students, faculty, and visitors. It features a clean layout, intuitive navigation, and well-structured content sections for quick access to academic resources and institutional information. The design emphasizes readability, aesthetic balance, and user engagement. Interactive elements and organized visuals ensure that visitors can easily find relevant information. Overall, the page combines functionality with a contemporary look to reflect the professionalism and academic excellence of Kongu Engineering College.
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React
Sigin2K25 - Event Management Website
Sigin2k25 Event Website is a dynamic and user-friendly platform designed to provide complete information about the upcoming Sigin2k25 event. It showcases event details, categories, schedules, and participation guidelines in a clear and accessible manner. The website features dedicated sections for rules, instructions, and FAQs to ensure participants understand the requirements. It also includes a seamless online registration system, enabling users to sign up effortlessly and receive confirmation instantly. With an intuitive interface, responsive design, and smooth navigation, the Sigin2k25 website enhances engagement, simplifies event management, and delivers a streamlined experience for both organizers and participants.
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Full stack Development
Flexi-Commerce
FlexiCommerce is a dynamic e-commerce platform that empowers clients to build and manage their own custom online stores with zero coding skills. Through a user-friendly admin interface, users can fully personalize their website's design, images, and content in real time. The platform allows seamless addition and management of categories, products, and multimedia assets with no predefined limits. Its flexible architecture supports infinite scalability based on user needs and business growth. Designed for simplicity and power, FlexiCommerce enables anyone to launch a professional, customized online store effortlessly.
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Machine Learning
Handwritten Digits Recognition
The Handwritten Digit Recognition project is a machine learning application that identifies digits (0–9) from handwritten images using the MNIST dataset. It leverages a Convolutional Neural Network (CNN) to learn and classify digit patterns with high accuracy. The model is trained on 60,000 labeled images and tested on 10,000 images to ensure robust performance. Python with TensorFlow/Keras is used for model development, training, and evaluation. The system can predict digits from user-provided images, demonstrating the practical application of deep learning in image classification tasks.
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Java
ATM Management System
The ATM Transaction Program is a Java-based desktop application built with AWT that simulates core ATM functionalities with a simple and interactive interface. It allows users to log in using either their account number or phone number, validated against a pre-stored list containing account details. Once logged in, users can perform essential banking operations such as deposit, withdrawal, balance inquiry, and interest calculation. The system includes robust validations—for example, preventing withdrawals when the balance is zero and correctly updating the balance after deposits. It also offers an interest comparison feature between multiple banks using simple interest calculations. The program integrates custom background images for an engaging UI experience.
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Java
Cash Flow Minimizer
This is a Java-based desktop application leveraging Swing for its graphical user interface . It enables users to track income and expenses across customizable categories—like salary, groceries, and entertainment—and set savings goals with progress visualization . Data management is handled internally using HashMaps for efficient transaction tallying . The app displays real-time bar charts comparing income versus expenses, complemented by a linked-list style visualization of transactions—color-coded for clarity (e.g., green for income) . Upon closing entries, remaining positive balances are automatically rolled into savings, giving users an immediate sense of their net cash flow and budget status
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Python
File Sharing App
The File Sharing App is a Python-based application designed to enable fast and secure transfer of files between devices over a network. It provides a simple interface for selecting files and sending them to connected users without relying on third-party services. The app uses socket programming to establish direct communication between devices, ensuring efficient data transfer. It supports different file types and maintains the integrity of files during transmission. This project demonstrates practical networking concepts and provides a lightweight, user-friendly solution for local file sharing.
Professional Training Contributions
Sharing knowledge and expertise through training programs and workshops.
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Full Stack Development
MERN Stack Workshop
Conducted a hands-on MERN Stack workshop covering the complete development-to-deployment workflow. Guided students through building full-stack applications, integrating frontend and backend, managing databases, and deploying production-ready projects. Focused on practical learning, best coding practices, and real-world implementation to help participants gain industry-relevant skills.
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Mastering Data Structures and Algorithms
DSA Workshop
Conducted an interactive Data Structures and Algorithms (DSA) workshop focused on building strong problem-solving skills. Trained students in core concepts like arrays, linked lists, stacks, queues, trees, graphs, and dynamic programming, along with hands-on coding sessions and real-time problem-solving practice. Helped participants improve algorithmic thinking, optimize solutions, and prepare effectively for technical interviews.
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Full Stack Development
MERN Stack Workshop
Conducted an intensive MERN Stack workshop guiding students through the complete full-stack development process. Covered MongoDB, Express.js, React.js, and Node.js with hands-on sessions on building real-world applications, integrating APIs, handling databases, and deploying projects. Focused on practical learning, best practices, and industry-level workflows to help participants gain end-to-end development skills.
Achievements
Notable recognitions and accomplishments in my journey.
Codeathon Winner
Secured Second Place in the Coding Event Conducted by the Coding club of Information Technology Department.
24-HRS Hackathon
Secured Runner Up position in the 24 hrs Hackathon and Honured with Tech titans Award.
Software Prototype Expo
Secured First place in the Prototype Expo Evaluated By Industry Experts.
Ruby Year Prototype Expo 2025
Secured Second position in the Project Expo Evaluated By Startups.
Technical Presentation
Secured First Prize in the Technical Presentation Conducted By the CSD Department.
SignIn Project Expo
Secured Second prize in SignIn project exhibition for the innovative solution.
Paper Presentation
Secured First prize in the Paper presentation conducted by IT Association.
1 Day Hackathon
Secured first Prize in the 1 Day Hackathon Conducted By CT-UG Department.
Prototype Presentation
Secured Second Position in the Prototype expo in SNS College of Technology.
Paper Presentation
Secured First Prize in the Paper presentation in Nandha Engineering College.
Project Presentation
Secured First Prize in the Project presentation in JJ College.
Technical Presentation
Secured First prize in the Technical Presentation Conducted by JJ College.
Technical Presentation
Secured First prize for Best Idea pitch in the Technical Presentation in Kongu Engineering College.
Devforge Hackathon
Secured First Prize in the 24 hrs Hackathon in AI Domain.
KPR Hackathon
Made as a finalist for the 24 hrs Hackathon Among 6000 participants via Unstop.
Proof of Concept 2025
Secured First Prize in the Proof Of Concept Conducted By Kongu Engneering College
Product Expo
Secured Second Prize in the Techno Cultural Fest In CSE Cluster
24 Hours Hackathon
Secured Second Prize in a 24 Hours Conducted By Cube AI Solutions and StartNet Vibe.
8 hours Hackathon
Secured First Prize in a Console Based Application Development Hackathon Without Internet.
Coding Event
Secured First Prize in a Coding Event Conducted By IT Department.
Paper Presentation
Secured First Prize in the Paper Presentation Conducted By Kongu Engineering College
Overall Excellence Award
Recognized as an Outstanding Winner For Securing First Prize in Multiple Competitions Including Coding,Paper and Hackathon.
Hackathon
Secured Third Prize in an 8-hour Hackatho Conducted by Mobile Application Development Club
IISF'25 Finalist
Finalist at one of India’s largest 36-hour national hackathons, competing against top teams from multiple states across the country.