Hello, Welcome to my Portfolio!

I'm Indu Sree.N

~ ABOUT ME ~

I'm Indu Sree.N

I'm a driven third-year Computer Science and Engineering student with a robust foundation in Java, Python, and web technologies. My passion for technology has led me to work on various projects, including portfolio websites and IoT smart home systems. My recent internship at ISRO provided me with invaluable experience in data processing, artificial intelligence, and machine learning, further fueling my enthusiasm for continuous learning and technological advancements. I'm actively involved in coding and research clubs, constantly refining my problem-solving and analytical skills to contribute to impactful projects and gain valuable industry experience.

At VIT-AP, I maintain a 9.3/10 GPA, demonstrating my commitment to academic excellence. My technical expertise spans across operating systems like Windows and Linux, web technologies such as HTML, CSS, and Django, and database management with SQL. I am proficient in using tools like Git Workflow and VS Code, enabling me to deliver high-quality technical solutions. Outside the classroom, I engage in extracurricular activities like the Code Chef Club and SEDS CLUB, participating in coding competitions, workshops, and outreach programs. With a keen eye on the future, I am excited to leverage my skills and experiences to make significant contributions in the tech industry.

Email: indusreen78@gmail.com

~ My Skills ~

Web Development

CSS

HTML

JavaScript

Prgramming Languages

Python

Java

SQL

Frame works

Django

Operating Systems

Windows

Linux

~ My Works ~

Raw Telemetry Data Stripping Software

Data Processing and analysis, Internship at ISRO SDSC SHAR

The Raw Telemetry Data Stripping Software orchestrates the acquisition of real-time telemetry data from proximate radar systems, seamlessly integrating with predefined calibration parameters. It employs sophisticated data processing algorithms to parse, analyze, and classify telemetry streams, subsequently generating meticulously organized files that encapsulate categorized parameter sets for advanced analytical and operational applications.

Temperature Prediction using Regression model

Artifical Intelligence and Machine Learning, Internship at ISRO SDSC SHAR

The Temperature Prediction using Regression Model project employs advanced regression techniques to forecast temperature changes based on historical data and relevant variables. By utilizing sophisticated algorithms and iterative training, the model identifies patterns and correlations, ensuring accurate and reliable temperature predictions through rigorous data preprocessing and optimization

Smart Agriculture Automation

IoT technology, ECS project at VIT-AP

This project utilizes IoT technology to optimize farming practices. This system automates irrigation based on soil moisture levels or set intervals, ensuring optimal water usage. It includes sensors to monitor soil conditions, detect smoke, and assess environmental factors like temperature and humidity. Additionally, the system can send real-time alerts and data to farmers, allowing for remote monitoring and management. This comprehensive approach enhances crop yield, conserves resources, and promotes sustainable farming practices.

Kisan Pragati Abhiyan Centres (DST- sanctioned project)

IoT technology, Ongoing Govt Funded Project at VIT-AP, under the Faculty Coordinator, Sunil Kumar Singh

This project provides advanced drone services for irrigation, seeding, sowing, and field scanning. Leveraging deep learning, they detect crop anomalies for timely intervention. These centers also offer soil health assessments, crop monitoring, and pest control solutions, aiming to enhance agricultural productivity and promote sustainable farming.

Get In Touch

Email

indusreen78@gmail.com