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JUDU-13 authored May 4, 2024
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# Shilji Shaiju
### About Me
I'm Shilji Shaiju, currently pursuing my Master's degree in Electronics with a keen interest in tech fields. Driven by a passion for innovation and a thirst for knowledge, I'm dedicated to advancing the frontiers of technology. Beyond my academic pursuits, I actively engage in exploring various tech domains and keeping abreast of the latest advancements. Let's connect and delve deeper into the fascinating world of technology together!


## Portfolio Highlights

### My Projects

| Name | Description | | |
|---------------------|---------------------------------------------------------------------------|------------------------------------------|----------------------------------------------------------------|
| Classification of galaxies using image analalysis | The project is based on classification of galaxies using image analysis method.According to hubble's classification ,galaxies are classified into spiral,Barred spirals,Elliptical and irregular.The basis of hubble's classification is the shape of galaxy,distribution of stars,appearance of special structures and appearance of central bulge.Using the images provied by SDSS database glaxies are classified following Hubble's classification scheme.SDSS database also classifies galaxies into early and late galaxies based on color cut criteria .The color cut criteria used in SDSS is 2.22.The galaxies with U-R value greater than 2.22 is of early type and those with U-R value lesser than 2.22 is of late type.As the observable part of universe include more of late type galaxies than early type ,we can say spiral galaxies are dominant galaxy type in observable universe. | |
| Water level and quality monitoring in water resources using IOT |This project presents a comprehensive solution for monitoring water level and quality in water resources using Internet of Things (IoT) technology. The system employs Arduino and Node MCU microcontrollers for real-time data collection and transmission. Water level monitoring is accomplished through the integration of float sensors, while Node MCU facilitates the monitoring of various water quality parameters. The project focuses on observing critical water quality indicators to ensure the safety and suitability of water for various purposes. Key objectives of the project include developing a robust monitoring system capable of continuous data collection, analysis, and dissemination. The collected data is processed and made accessible through a dedicated website, providing stakeholders and the public with timely information on water level and quality. This accessibility enables informed decision-making and timely responses to any identified issues or concerns. Methodologically, the project involves the design and implementation of hardware and software components. Arduino and Node MCU are programmed to interface with sensors, collect data, and transmit it to a central server. The server processes the data and updates the website interface, allowing users to access real-time information on water level and quality parameters. Findings from the project demonstrate the effectiveness of the IoT-based monitoring system in providing timely and accurate data on water resources. By making this information readily available to the public, the system promotes awareness and encourages proactive measures to safeguard water quality and ensure sustainable resource management. Overall, the project contributes to enhancing the monitoring and management of water resources through innovative IoT solutions. | |

#### Leadership and Influence:
Leading my degree project showcased my leadership and influencing skills. By guiding the team through challenges and coordinating efforts, I demonstrated decisive decision-making and effective communication.Persuading others to adopt our vision, I influenced team members towards successful project completion. This experience exemplifies my capability to lead and influence within my domain.
#### Networking:
I'm always open to connecting with like-minded individuals who share my passion.

check out my Linkedin profile:https://www.linkedin.com/in/shiljl-shaiju-630692252
#### Career Plan:
As an MSc Electronics student with an interest in the software field, my career plan involves leveraging my technical expertise to pursue opportunities at the intersection of electronics and software. In the short term, I aim to gain hands-on experience through internships or projects in software development, honing my programming skills and familiarizing myself with industry-standard tools and technologies. Simultaneously, I will continue to excel in my academic studies, focusing on courses or projects that integrate electronics and software concepts. In the longer term, I envision transitioning into roles that allow me to contribute to innovative projects, such as embedded software development, IoT solutions, or software-defined electronics. Through continuous learning, networking, and seizing opportunities for growth, I aspire to build a successful career that leverages both my electronics background and software expertise.


#### Thoughts on Kerala's Tech Ecosystem:
Kerala's journey to tech startup prominence hinges on strategic steps. Priorities include bolstering tech education, nurturing incubators, and securing government backing with incentives. Critical to success are solid infrastructure, strong industry-academia ties, and active promotion of innovation. Accessible funding and a focus on emerging tech like AI and blockchain are essential for staying competitive. Networking events and global outreach can enhance visibility and connections. With these moves, Kerala can foster a thriving environment for tech entrepreneurship, elevating its position in the startup arena.
#### History of Community Engagement:
An active participant of mulearn discord server.


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