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Passionate Web Developer and AI & Data Science Enthusiast, currently advancing my expertise in programming and full-stack development. Focused on building secure, scalable, and high-performance applications while continuously mastering modern technologies and problem-solving techniques.
Hello, I am Madireddy Meena Mahanth Harinadh, an AI and Data Science student with a deep interest in software development and modern web technologies. I began my programming journey in 2023, driven by curiosity and a strong desire to understand how technology powers real-world solutions.
I am currently focused on full-stack development, problem-solving, and building scalable, secure, and efficient applications. I consistently explore emerging technologies to expand my technical expertise and stay aligned with industry advancements.
With a disciplined approach to learning and a commitment to continuous improvement, I aim to grow into a proficient developer capable of delivering impactful and innovative solutions and to find the best solutions for the problems.
HTML
CSS
JAVASCRIPT
GIT
MONGODB
EXPRESSJS
REACTJS
NODEJS
PYTHON
JAVA
C
SQL
Built a full-stack AI-based drone detection platform leveraging YOLOv8 for accurate object detection. Developed a FastAPI backend for efficient inference processing and deployed the system using Firebase and Render, enabling scalable and real-time drone detection from uploaded images.
Engineered a MERN-based grocery e-commerce application featuring dynamic product listings, cart functionality, and backend API integration. Implemented MongoDB for persistent data storage and structured RESTful services to deliver a scalable full-stack solution.
Developed a full-stack hotel booking web application inspired by Airbnb. Implemented secure JWT authentication, property listings, advanced search and filtering, booking management, and integrated Razorpay for secure payments.
Built a multilingual digital literacy Progressive Web App featuring interactive lessons, quizzes, AI chatbot support, and certificate generation. Implemented offline capabilities and mobile installation features to enhance accessibility for mobile users.
Engineered a client-side productivity application using vanilla JavaScript, implementing dynamic task management, goal tracking, timer functionality, and persistent storage via Local Storage API. Designed a responsive and user-friendly interface using HTML5 and CSS3.
Developed an AI-powered writing assistant using Streamlit and Hugging Face Transformers that analyzes essays for grammar, readability, and writing quality. The system leverages BERT and T5 models.
A comprehensive collection of Artificial Intelligence projects covering Machine Learning, Neural Networks, Object Detection, and Image Classification. Implemented using Python and Google Colab to experiment with real-world AI models and intelligent systems.
A curated collection of Data Science projects including statistical modeling, exploratory data analysis, NLP, and machine learning. Features an end-to-end Salary Prediction model and foundational R programming for data analytics.
