About Me

Hi, I'm Madasu Kumar Venkat, currently pursuing my B.Tech in Information Technology at Marri Laxman Reddy Institute of Technology (Affiliated with JNTUH) with a CGPA of 9.60. I am passionate about building tech-driven solutions with a focus on AI, software development, and cloud technologies. I have actively participated in hackathons, innovation cohorts, and startup initiatives that nurtured my innovation and problem-solving skills.

Tech Skills

Existing Skills

• **Languages: C, Java, Python, JavaScript, HTML, CSS, MySQL, DSA
• **Frameworks & Libraries: React, Pandas, Numpy, Scikit-Learn, Matplotlib, OpenCV, TensorFlow
• **Tools & Platforms: AWS, Jupyter Notebook, VS Code, GitHub, Figma, Eclipse, Microsoft Excel
• **Soft Skills: Teamwork, Adaptability, Communication, Critical Thinking, Reactive Building
• **Core Courses: Object-Oriented Programming, DBMS, Computer Networks, Operating System

Planning to Learn

• Angular (Started via Infosys SpringBoard)
• Advanced AI/ML Concepts
• Cloud DevOps Tools (e.g., Terraform, Kubernetes)
• Full-stack frameworks like Next.js

Projects I Worked On

1. Early Cure – AI Based Disease Detection Using Palm

A pioneering health tech solution inspired by ancient Hindu palm-reading practices. This project utilizes Convolutional Neural Networks (CNN) to analyze palm line patterns and detect early signs of diseases. Using OpenCV for image preprocessing and TensorFlow for deep learning, the model identifies key features from palm images. Achieved a 90% accuracy rate. The goal is to enable early diagnosis and proactive healthcare, especially in resource-limited environments.

2. Crop Yield Prediction

Developed a predictive analytics tool to assist farmers and agricultural planners. The system uses a Decision Tree Regression model trained on 25,000+ agricultural data points. It predicts crop yields based on variables like temperature, humidity, and soil quality. Implemented in Python with scikit-learn and pandas, the model achieved 96% accuracy. It aims to improve **agricultural productivity and planning, reducing risk from environmental uncertainties.

3. Smart AR Navigation System for Railway Stations

A modern Augmented Reality (AR) application designed to ease navigation inside complex railway stations. Features include real-time navigation, 3D maps, voice-guided directions, and integration with live railway service APIs. Built using React JS, Leaflet.js, Google Maps API, and MySQL, the solution enhances accessibility for visually impaired and first-time travelers, improving the overall commuter experience.

4. Next-Gen Gate Pass Automation

A smart Gate Pass Management System (GPMS) for educational and corporate campuses. This dynamic web app, built using JavaScript and C#, enables users to request, approve, and track gate passes online. It incorporates "digital QR codes", "real-time visitor tracking", and admin approval workflows, significantly improving campus security and operational efficiency. Designed for scalability and ease of deployment.

Certifications

• AWS Academy Graduate - AWS Cloud Foundations (May 2025)
• Core Java Programming – NPTEL, IIT Kharagpur (Jan–Apr 2024)
• Introduction to Machine Learning – NPTEL, IIT Madras (Jul–Oct 2024)
• Mastering MySQL: Database Management – Udemy (May 2025)
• Programming Essentials in Python – OpenEDG (Feb–Mar 2024)
• Angular – Infosys SpringBoard (Aug 2024)
• Figma Web Development – CodeTech IT Solutions (Sep–Oct 2024)
• Certified Smart Coder in DSA – Smart Interviews (Bronze)

Aspirations

I aspire to become an AI Engineer or a Cloud Engineer, specializing in intelligent systems that deliver real-world impact through deep learning, cloud integration, and scalable web applications.