Skills
Let's Code ...
I have a strong focus on creating intuitive and efficient software solutions to meet the needs of clients and end-users. When I'm not coding, I love to stay up-to-date with the latest technology trends and improving my skills. I'm always eager to take new challenges and work with a team to deliver exceptional results.
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Programming Languages
- Java
- Python
- C/C++
- SQL
Framework & Libraries
- Springboot
- React.js
- Node.js
- Express.js
- JavaScript
- Bootstrap
- Python Libraries
- Flask
- Streamlit
- Socket.io
DataMarkup & Standards
- HTML5
- CSS3
DataBase
- MongoDB
- Mysql
- Postgres sql
Hard Skills
- DataScience Skills
- SDLC Concepts
- Microsoft Office tools Skills
Qualification
Education
College of Engineering Trivandrum - CET
Master Of Computer Application
2022 - 2024Mar Ivanios College Trivandrum
Bsc. Bachelor Of ComputerScience
2019 - 2022Chinmaya Vidyalaya Kunnumpuram Trivandrum
INDIAN SCHOOL CERTIFICATE (ISC)
Stream: ComputerScience
INDIAN CERTIFICATE OF SECONDARY EDUCATION (ICSE)
2017Certification
NPTEL - INTRODUCTION TO INTERNET OF THINGS
Completed the certification with Elite position from the Indian Institute of Technology(IIT) Kharagpur.
Roll no: NPTEL23CS83S749000541
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NPTEL - INTRODUCTION TO OPERATING SYSTEMS
Completed the certification from the Indian Institute of Technology(IIT) Madras.
Roll no: NPTEL23CS101S34860387
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Projects
EDUBOARD - VIRTUAL CLASSROOM ENHANCED BY AI
Web based learning management application which includes features like course management, student management, whiteboard - Real time sharing using socket.io, video conference - using WebRTC, chatbot - using RNN.
Frontend: HTML, CSS, Javascript, Bootstrap | Backend: Nodejs, Express.js | Database: MongoDB
FitTrackr - MOBILE ANDROID APPLICATION USING JAVA
FitTrackr is a fitness-focused application developed using Java. The application includes features such as a walking step tracker developed using a pedometer, a library of home workouts that animate the workout and act as a personal trainer, health calculators for the calculation of various health metrics, a water intake tracker, and notification reminders for both medication and drinking water.
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MEDHUB - MULTIPLE DISEASE PREDICTOR USING MACHINE LEARNING AND DEEP LEARNING
The Web App enables one to predict multiple diseases from input values such as symptoms, X-ray, MRI scans, Physical health data, or blood test results and is capable of predicting Heart Issues, Liver Diseases, Chronic Kidney,Brain Tumor, Glaucoma, Pneumonia.
Framework: Streamlit-Python
CHATCONNECT - REAL TIME CHAT APPLICATION USING MERN STACK
The chat application, developed for socializing, utilizes the MERN stack technology, with React.js for the front end and Node.js along with Express.js for the backend. MongoDB serves as the database collection. Integration of Socket.io within the application facilitates real-time exchange of text messages, enhancing user interaction and engagement.
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CRUISEPOOL - CAR POOLING WEB APPLICATION USING BLOCKCHAIN TECHNOLOGY
The decentralized platform connects riders directly with drivers via smart contracts, eliminating the need for intermediaries.
Front end: HTML, CSS, JavaScript, React.js, Web3.js | Backend: Nodejs | Extension: Metamask
MENTAL MENTOR - MACHINE LEARNING WEB APP
Project analyzes the mental health of a person by taking the survey as input and guides for the proper treatment and includes library of mental health exercises. Developed using multiple classifiers (SVC, Random Forest, naive bayes etc).
Framework: Python - Streamlit