About Me

I'm Bibin and I'm a

Summary

Programming Languages: Proficient in C, Python
Embedded Development: Proficiency in programming microcontroller such as pic,atemga,ARM.
Web Development: Creating dynamic and responsive websites using HTML, CSS, and JavaScript.
Tools and Platforms: Proficient in VS Code, GitHub, Blynk, Proteus, MPLAB, Flash Magic
Pursuing Advanced PG Diploma in Embedded System and Hardware Designing
Demonstrated strong problem-solving abilities and adaptability through hands-on projects and coursework.
Involved in the developer community participating in hackathons
Aspiring to be at the forefront of AI innovation and Embedded Development, with a commitment to leveraging technology for positive change.
Passionate about applying AI technologies to address real-world challenges and contribute to projects that have a meaningful impact on society.

Download CV

Leaf Disease Detection using Python & OpenCV

High-resolution images of leaves are captured using cameras or smartphones, ensuring clear and detailed visuals for analysis.
The captured images undergo preprocessing steps such as resizing, normalization, and noise reduction to enhance the quality and focus on the leaf area
Using computer vision techniques and machine learning models, the system analyzes the images to identify patterns and features indicative of specific leaf diseases.
Once a disease is detected, the affected area of the leaf is highlighted and detailed information about the disease, including symptoms, potential causes, and treatment recommendations, is generated and displayed.
The detected disease information and images are stored in a digital database, enabling easy retrieval, tracking of disease progression, and providing valuable data for further research and analysis.
Technologies used: Python3, OpenCV,Google Teachable Machine,Kaggle,firebase

Automated Hydroponics

Automated Hydroponics uses sensors to monitor nutrient levels, pH, temperature, and humidity in the hydroponic system
Sensors continuously collect data and transmit it to a cloud-based platform for real-time monitoring and analysis.
Based on the sensor readings, the system automatically adjusts nutrient delivery and pH levels to maintain optimal growing conditions.
This automation ensures precise nutrient delivery, enhancing plant growth and yield.
The integration of IoT and cloud technology enables efficient, data-driven management of hydroponic farms, reducing manual intervention and improving productivity.
Technologies used: C++, Esp32,IoT,Blynk Cloud.

Spot Welder

A spot welder is specifically used for welding nickel strips, which serve as connectors between individual battery cells in a battery pack..
The spot welder delivers a controlled, localized electrical current to the nickel strips, generating heat and fusing the strips to the battery terminals without damaging the cells.
Using a spot welder minimizes the risk of overheating or damaging the battery cells, which can occur with other welding methods, making it a safer choice for assembling battery packs.
Technologies used: Transformer,Arduino,C++.

My Technical Skills:

Web technologies: HTML, CSS, JavaScript

Programming Languages: C, Python,C++,Embedded C.

Database: Firebase,Kaggle

Web/Application Server: Firebase, Github-Pages

Tools and IDEs: Arduino IDE, Visual studio code , Git , Microsoft-Office , Pycharm, Proteus, Flash Magic

Operating System: Windows, Linux .

Personal Qualities:

Strong problem-solving, analytical and critical thinking skills.

Excellent attention to detail and Passionate about work.

Ethical Working Nature.

Ability to work independently and as part of a team.

Fast learner and open to new technologies.

Effective at prioritizing tasks, meeting deadlines and delivering high-quality work on time.

Achievements