Summary
Overview
Education
Skills
Websites
Certification
Languages
Projects
Timeline
Generic

Vignika Jasti

Kakinada

Summary

Detail-oriented B.Tech student specializing in Computer Science, with expertise in programming, web development, and machine learning. Proven ability to develop innovative solutions including BMI calculators and vehicle insurance management systems. Holds certifications in AI tools and digital technology, demonstrating a commitment to leveraging technology for real-world applications. Multilingual with strong teamwork and communication skills, effectively managing multiple projects.

Overview

1
1
Certification

Education

B.Tech - Computer Science

Sathyabama University
Chennai
01.2026

Intermediate -

Sri Chaitanya Junior College
Vijayawada
01.2022

10th Standard - APOSS

Sri Chaitanya Techno School
Tapeswaram
01.2020

Skills

  • C
  • JavaScript
  • HTML
  • CSS
  • Python
  • Java
  • Analytical thinking
  • Leadership

Certification

  • Leverage AI tools and resources for your business, Microsoft, 01/2024
  • NASSCOM Digital 101, NASSCOM, 08/2024, FSP/2024/8/10180058, 89/100

Languages

  • Telugu
  • Tamil
  • English

Projects

BMI Calculator, React.js, 01/2023
Developed a web-based BMI Calculator using React.js for real-time BMI calculation. Integrated a user-friendly interface to input height and weight, with instant feedback on BMI category (Underweight, Normal, Overweight, or Obese). Ensured responsiveness across devices and optimized performance for seamless user experience.

Check Vehicle Insurance, HTML, CSS, JavaScript, PHP, MySQL, 07/2024
Created a dynamic webpage to check vehicle insurance details by entering the vehicle number. Built the backend using PHP and MySQL to securely fetch and display insurance records from the database. Designed an intuitive front-end with validation for accurate user input and ensured cross-browser compatibility.

Speech Emotion Detection, Python, Machine Learning, 09/2024
Designed a system to detect human emotions from speech using Python and machine learning techniques. Implemented features like MFCC, chroma, and Mel spectrogram for data preprocessing and classification. Trained a Multi-Layer Perceptron (MLP) model, achieving a recognition accuracy of 73%. Developed a modular and scalable architecture to facilitate further enhancements.

Timeline

B.Tech - Computer Science

Sathyabama University

Intermediate -

Sri Chaitanya Junior College

10th Standard - APOSS

Sri Chaitanya Techno School
Vignika Jasti