Hello. I am Nehal, a passionate code enthusiast and a full-stack developer. I am currently pursuing my final year of B.Tech in the CSE department at Amrita Vishwa Vidyapeetham, Chennai.
I have a strong foundation in Python and have worked on projects related to IoT, AI, and Cloud. I also serve as the club lead of a tech club called Cognizance, mentoring over 20+ students under the open-source domain. I have also been recognized with awards including the "Best Paper Award" at IIIT Kottayam 2025 and top positions in multiple hackathons.
Beyond tech, I love to sketch and paint. Creating art is my little escape from the digital world. It calms my mind, fuels my creativity, and helps me stay connected to myself. My artistic talent never failed me to bag prizes.
2024 - Now
Logo and Web DesigningFreelance
Programming Language
Python
Java
C
C++
SQL
Front-End
HTML
CSS
JavaScript
Android (Learning)
Back-End
Flask
Machine Learning
Numpy
Pandas
TensorFlow
OpenCV
Keras
Databases
- SQL Workbench
MongoDB
Cloud Platform
Microsoft Azure
Tools
Git
UI/UX Design
Figma
Canva
Knowledge Areas
DBMS
OOPs
Networks
Operating Systems
DSA
Coding Platform
AEyeD is an affordable, AI-powered real-time monitoring system designed to assist visually impaired individuals. Combining Computer Vision and IoT, it enables safe navigation through face and gesture recognition, vehicle and stair detection, and text-to-speech feedback. Built using CNNs, Haar Cascade, OpenCV, Keras, and pytesseract, AEyeD runs on a Raspberry Pi with voice-command face labeling and OCR-based audio output. Tested on patients with Retinitis Pigmentosa, it achieved an F1 score of 0.88, significantly improving situational awareness and autonomy.
Photos
FATE is a security-focused, audio file-transferring simulation system that adopts a hybrid cryptographic approach to ensure data integrity and authentication. It combines AES and RSA for robust encryption, while digital signatures with SHA-256 hashing are used to authenticate data for foolproof.
A recommender system using the ML-KNN algorithm designed to enhance student learning experiences by suggesting effective strategies tailored to individual performance. Many students struggle to learn from their mistakes due to a lack of proper guidance, often choosing suboptimal methods to improve—resulting in missed opportunities to boost their marks.
To address this, teaching staff provide learning strategies mapped to different performance ranges, along with course and student data. A synthetic dataset is generated to represent varied mark distributions, and the model is trained on it. Once trained, it recommends appropriate strategies based on real student performance, guiding them toward better outcomes.
CODEZ is a premier platform for seamless collaboration with team members on projects. The platform is designed to empower the team with a comprehensive suite of tools, ensuring one can achieve their goals efficiently and effectively. CODEZ encompasses a comprehensive set of features, including unified work environment, real-time communication, file sharing, version control, and a to do list.
AfterDot is a multifunctional file conversion tool, designed to streamline everyday file operations, AfterDot supports a wide range of conversions, including Word to PDF, PDF to Word, IMG to Text, PDF to JPG, JPG to PDF, JPG to PNG, PNG to JPG, and PDF merging. The application also features a usage tracking system called “POINTS”, which records the frequency of each operation. Built primarily using Python, AfterDot showcases efficient file handling and backend integration.
nehalmicro29@gmail.com
+91 8438394310
TN, IND