Annalakshmi D

Entry-Level Full-Stack & AI Developer

Karur, IN.

About

Highly motivated Computer Science Engineering graduate with a robust foundation in full-stack development and AI-based applications. Proficient in React.js, Node.js, Python, and MySQL, adept at quickly learning new technologies and collaborating effectively within team environments. Eager to apply strong technical skills and contribute to impactful projects in an entry-level Developer role, leveraging a proven track record of enhancing user experience and optimizing system performance.

Work

ND Automatronics

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Front-End Developer Intern

Remote, N/A, N/A

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Summary

Contributed as a Front-End Developer Intern, revamping the company's website and enhancing user experience through innovative web technologies.

Highlights

Revamped the company's official website using React.js, significantly enhancing load speed by 30% and improving overall UI/UX.

Engineered interactive 3D product previews utilizing Three.js and WebGL, successfully simulating complex product interactions.

Collaborated with cross-functional teams to integrate UI/UX designs, manage version control via Git, and deploy solutions through Render.

Led weekly sprint demonstrations and provided critical frontend input during Agile ceremonies, contributing to streamlined project progression.

Education

Chettinad College of Engineering and Technology

Karur, Tamil Nadu, India
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Bachelor of Engineering Computer Science and Engineering Grade: CGPA: 7.94

Govt. Girls Higher Secondary School

Karur, Tamil Nadu, India
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Higher Secondary Certificate (HSC) General Studies Grade: Percentage: 85%

Volunteer

Volunteer

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National Service Scheme (NSS)

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Actively participated in community welfare initiatives and environmental cleanup efforts through the National Service Scheme.

Highlights

Contributed to community welfare activities, addressing local needs and fostering social responsibility.

Participated in organized cleanup drives during annual NSS camps, promoting environmental awareness and sustainability.

Awards

Finalist - Code Arena 2025

Jai Shriram Engineering College

Secured a finalist position in a national-level coding contest, demonstrating strong proficiency in data structures, algorithms, and real-world problem-solving scenarios.

Winner - Smart India Hackathon 2024

Smart India Hackathon

Achieved national-level recognition by developing an AI-based sign language toy for deaf and mute children, leveraging MediaPipe for gesture interpretation and voice output, securing the top spot among 50,000+ participants.

TNSCST Project Grant

Tamil Nadu State Council for Science and Technology

Awarded ₹7,500 under the Student Project Scheme 2024-25 to prototype an AI-powered sign language learning toy, recognized for its contribution to inclusivity and accessibility in early education.

Publications

AI-Enabled Smart Safety Wearable for Child Protection

IJSART

Presented at ICRTT-2k25 (Nadar Saraswathi College, Theni) and published in IJSART, Volume 11, Issue 3, detailing an AI-enabled smart safety wearable for child protection.

Languages

Tamil

English

Certificates

Sawit AI Learnathon – Fundamentals of GenAI

GUVI

Programming in Java

NPTEL (IIT Kharagpur)

Python Programming

GUVI

Zoho Creator – Young Creators Program

Zoho

Web Designing In-Plant Training

NEWTECH

Skills

AI/ML Tools

YOLO (Object Detection), MediaPipe, OpenCV, Pandas, NumPy.

Developer Tools

Git, GitHub, Postman, VS Code, Figma, Canva.

Version Control & Deployment

Git, GitHub, Netlify, Render.

Soft Skills

Problem Solving, Team Collaboration, Adaptability, Time Management.

Databases

MySQL, MongoDB.

Programming Languages

Java, Python, C, PHP, JavaScript.

Web Technologies

HTML5, CSS3, React.js, Node.js, Express.js.

Projects

AI-Enabled Child Safety App

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Summary

Developed an AI-powered safety application for children with features including fall detection, unknown person identification, and voice anomaly detection, integrating OpenCV, Librosa, and Twilio API for real-time emergency SMS alerts with location.

Delivery Web App

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Summary

Developed a full-stack food delivery web application utilizing the MERN Stack, featuring role-based authentication, product listing, and dynamic order tracking.

YOLO Object Detection Model

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Summary

Trained and fine-tuned a custom YOLOv5 model to identify branded masala packets in live video streams using a webcam, optimizing detection accuracy for inventory tracking.