Final-year CSE Student | Available for Opportunities

Vikas R Rathod

Final-year Computer Science & Engineering undergraduate passionate about building intelligent, scalable full-stack applications and end-to-end machine learning systems to solve real-world problems.

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Vikas R Rathod - AI & Full Stack Developer
⚡ Software Engineer | AI & Web
About Me

Professional Summary

Final-year B.E. Computer Science and Engineering student specialising in AI and Full Stack Development, passionate about building intelligent, scalable software and applying strong analytical and problem-solving skills to real-world challenges. Hands-on experience developing full-stack and machine learning projects, including an AI-powered stress-monitoring platform and a demand-forecasting framework built end-to-end. Eager to keep learning new technologies and contribute effectively to a team building real products.

Full Stack Engineering

Node.js, Express, FastAPI, REST APIs

Applied AI & ML

Scikit-learn, OpenCV, LLM Integrations

Database Architecture

MySQL, MongoDB Atlas, Data Modeling

Technical Proficiency

Skills & Knowledge

Programming Languages

Python SQL HTML CSS

Frameworks & Libraries

Node.js Express.js FastAPI

Databases

MySQL MongoDB

Tools & Platforms

Git GitHub VS Code

Core Subjects

Data Structures & Algorithms DBMS Operating Systems Computer Networks
Portfolio

Featured Projects

Full Stack & AI Featured

Calm Mind: Mental Wellness & Stress Tracker

Full-stack stress-monitoring platform built with a Node.js/Express backend, Python/FastAPI AI service, and MongoDB Atlas for cloud storage. Implemented multimodal stress analysis across text, facial expression (OpenCV face and smile detection), and voice tone (Web Audio API) to generate real-time stress insights. Integrated Groq LLM API to power a conversational support chatbot with a keyword-based fallback when the API is unavailable.

Node.js Express Python FastAPI MongoDB Atlas OpenCV Groq LLM API Web Audio API HTML/CSS/JS
View on GitHub
Machine Learning Final Year Project

Population-Driven Forecasting (2026 – 2027)

Developed a machine learning framework to forecast urban and rural water and energy demand from population data and compare consumption patterns. Trained and compared SVM, KNN, and Logistic Regression models using Scikit-learn; performed data preprocessing and feature engineering with Pandas and NumPy. Visualised demand trends with Matplotlib and Seaborn and built a Tkinter interface to support resource planning through predictive analytics.

Python Scikit-learn Pandas NumPy Matplotlib Seaborn Tkinter SQLite/MySQL
Academic Capstone Project
Database & Web App Mini Project

Web-based Blood Bank System

Built a web application to manage donor, recipient, and blood inventory records in a centralised MySQL database. Implemented secure record management and blood request tracking, improving data accessibility and operational efficiency for staff.

PHP HTML/CSS MySQL XAMPP
Database Management System
Academic Background

Education

SJM Institute of Technology, Chitradurga

2023 – 2027

B.E. in Computer Science & Engineering

CGPA: 8.01

B.V.V.S Basaveshwar Arts, Science & Commerce PU College

2022 – 2023

12th Grade (Pre-University)

Score: 79.83%

St Anne's Convent High School

2020 – 2021

10th Grade (SSLC)

Score: 89.44%
Recognition & Growth

Achievements & Certifications

24-Hour Hackathon Participant

Participated in Xcelerate, a 24-hour hackathon at NIKSHATRA E-Summit 2025, Bangalore Institute of Technology (BIT), building teamwork and time-constrained problem-solving skills.

GenAI Powered Data Analytics

Completed job simulation with Tata (Forage), applying generative AI techniques and analytical methods to solve business data problems.

Gold Medalist — Group Dance

Participated in a group dance event and won gold against other schools in an inter-school competition.

Get In Touch

Contact Me

Let's Connect & Collaborate

Whether you have an opportunity, a project idea, or just want to discuss AI and full-stack development, my inbox is open.

vikasrathod.2005a@gmail.com
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