Achi Vyshnavi
Computer Science & Business Systems Graduate
About
I am a highly motivated and skilled individual with a strong background in computer science and business systems. I have experience in web development, machine learning, and project management. I am passionate about utilizing technology to solve real-world problems and drive positive change.
Skills & Expertise (21)
Work Experience
Web Development Intern
Next24Tech
May-2024 - June-2024
Developed and deployed a skincare brand website and portfolio sites, enhancing user engagement with features like product catalogs, order forms, and client testimonials using HTML5, CSS3, and JavaScript. Optimized website performance, reducing load times by 25% through AJAX-based dynamic content loading and media file optimization, and improved SEO, resulting in a 30% increase in site traffic.
Web Development Intern
Oasis Infobyte
March-2024 - April-2024
Executed a high-impact internship focused on full-cycle full stack development, developing four functional web applications: a weather dashboard, portfolio site, landing page, and calculator using HTML5, CSS3, and modern JavaScript (ES6+), adhering to W3C standards and C#/.NET backend concepts for server-side logic.
Education
B.Tech
2021 - 2025 · India
TGBIE
2021 - 2021 · India
SSC
2019 - 2019 · India
Certifications
Elderly Fall Prediction, Detection using Machine Learning Algorithms using YoloV5
N/A · N/A
Developed an AI-driven system using YoloV5 to predict and detect falls in elderly individuals. Achieved 92% accuracy in real-time fall detection and ensuring time intervention for enhanced safety.
Detection of Safety Equipment in Construction sites using YOLOV8
N/A · N/A
Implemented YOLOV8-based object detection to monitor safety equipment usage on construction sites. Ensured 95% detection accuracy in identifying safety gear and verifying adherence to safety protocols.
EcoLife App:Carbon footprint Calculator and Energy Consumption Tracker
N/A · N/A
Developed and deployed the EcoLife app to allow users to track and manage their carbon footprint and energy consumption. Implemented algorithms to calculate resource usage, suggest energy-saving alternatives and provide real-time feedback, achieving 90% accuracy in monitoring environmental impact and optimizing user habits for greener lifestyle.
