Janice.J
I am a student
About
I am a 2nd year CSE student from Chennai with a passion for creativity and technology. I enjoy singing, drawing, writing stories, and exploring cool projects like game design and image steganography. I aim to achieve something big in technical field while blending my artistic side with innovation.
Computer science undergraduate student
Dream in code, think in algorithms.
- Date of birth: 21 June 2006
- Age: 19
- Phone: 6374228400
- City: Chennai, India
- University: SRMIST
- Degree: B.Tech
- Email: janicesheryn@gmail.com
- Course: Computer science with cloud computing
Computer Science, to me, is more than just coding—it’s about thinking logically, solving problems, and bringing ideas to life. I enjoy learning new technologies and building meaningful solutions. Cloud Computing makes it even more exciting by enabling me to create scalable applications that can reach people anywhere, fueling my passion to innovate and grow in this field.
Leetcode progress
Projects
Current Cgpa
Internships attended
Skills
Skills are the silent power behind every success.
Resume
Summary
Janice.J
I'm a passionate learner who enjoys combining creativity and logic to build meaningful and impactful work.
- 91+ 6374228400
- janicesheryn@gmail.com
Education
B.Tech CSE undergraduate specializing in Cloud Computing.
2024 - 2028
SRM Institute of science and technology, ramapuram
I am currently in 2nd year of my course, and i gained a lot of insights,knowledge and experience on Coding and programming,Web development, as i participated in various technical events and workshops conducted in our university.
My current CGPA is 9.83
10th and 12th (Highschool)
2022 - 2024
Vani Vidyalaya, chennai
I completed my higher secondary in a CBSE school.I managed to secure 94% in 10th.I opted for computer science for 11th and 12th to pursue my career in engineering and i got 80.6% in 12th.
Professional Experience
Intern in Supraja Technologies- (CyberSecurity internship)
2025 - Present
Vijayawada, Andhra pradesh
- Used wireshark to track network traffic of pakistani websites and burpsuite for otp bypassing in vulnerable websites.
- Worked in kali-linux and metasploitable server to test out network vulnerablity and did a practical session on windows backdoor attack.
- Performed comprehensive VAPT and network audits across 30–40 web servers using Burp Suite, Nessus, and Acunetix.
- Identified and resolved 4–5 critical vulnerabilities including SQL Injection (SQLi) and Cross-Site Scripting (XSS) through targeted security assessments.
- Led threat simulations to proactively detect and mitigate high-severity risks across assessed systems.
- Engineered a Python metadata analysis tool supporting 5–6 file types, applied across 50–60 real-world digital forensic cases.
Intern in TMIS pvt.Ltd- (Artificial intelligence and machine learning internship)
2025 - present
chennai, Tamilnadu
- Learnt about basic fundamentals of artifical intelligence.
- Had a virtual learning session on how artificial neural networks work.
- Learnt about Convolutional Neural networks and AI prompting.
- Had a Practical session on Data collecting and preprocessing.
Certificates and works done:
Success isn’t about being the best, it’s about being better than you were yesterday.Progress is the true victory.
- All
- Events
- Courses done
- Internships
Projects:
Image steganography using LSB technique- project1
This project hides secret data (text or files) inside images using the Least Significant Bit (LSB) technique. It features a user-friendly Python GUI built with Tkinter for encoding and decoding messages. Users must log in securely, and encoded images can be sent via email with a password for added security. It supports hiding not just text but also full files like .txt or .pdf without changing the image’s appearance.
C mini projects
Basic mini projects in C languages like a simple calculator,fibonaaci series,prime numbers etc.
Python mini projects
This project is a combination of multiple mini projects done in Python and some in C.
Kisan Yatra : AI based crop recommendation for Farmers
AI-Based Crop Recommendation System for Farmers This repository contains the full code, datasets, and supporting content for the AI-Based Crop Recommendation System developed for Smart India Hackathon. The project aims to empower farmers with data-driven decisions on optimum crop selection, maximizing yield and profitability while promoting sustainable agriculture.
Library Management System
Library Management System (LMS) Project Overview This is a full-stack web application designed to digitize and automate core library operations. Unlike basic CRUD tutorials, this system implements a relational database architecture to manage complex interactions between books and students. The project focuses on high performance, data integrity, and a seamless user experience (UX) through asynchronous communication and live-filtering.
MetaDocX
Metadocx is a specialized forensics tool for metadata extraction and correlation, supporting a wide range of file types including PDF, JPEG, PNG, Excel, CSV, and Word. It automates the retrieval of critical information such as modification dates, issued dates, and author attribution, providing investigators with a clear digital audit trail. The tool is designed to translate raw file data into actionable forensic intelligence by mapping the lifecycle and transmission of sensitive documents.
Super Recognisor
Super Recogniser is an advanced, full-stack cognitive testing platform designed to evaluate and train human facial recognition capabilities. Inspired by the neurological phenomenon of "Super Recognisers" (individuals with exceptional facial mapping skills), this application provides adaptive cognitive challenges, dynamic neural plotting, and secure user management.
Contact
Phone:
91+ 6374228400
Email:
janicesheryn@gmail.com