Name: Syed Ishtiyaq Ahmed
Type: User
Company: Amrita School of Engineering (ACE), Coimbatore
Bio: A man of logic , trying to innovate and contribute .
Location: Chennai , India
Blog: https://www.linkedin.com/in/syed-ishtiyaq-ahmed-a1b813166/
Syed Ishtiyaq Ahmed's Projects
A web development site
A simple website for Tech Geeks
A web development site
A CNN architecture to recognize glasses in selfies
This repository contains the design files and simulation snippets of a compact low power K-band trasceiver that can be employed in FMCW radar systems for indoor navigation of robots. The simulations and analysis were done using the PADS Professional Student Design software. The design was ranked in the top-5 globally in the Global Student Design Challenge and the team received "PCB Design Excellence" award from SIEMENS.
A Contact Management Web Application built using a MySQL Backend database system and a Flask-based front-end system. HTML and CSS scripts were used for styling. The web application can be easily deployed on your localhost and be used to maintain contacts!
Eyeglasses, Mustache, Beard, and Hat classification using Tensorflow
Easy face detection using openCV
This is my collection of Java Lab Assignment Codes for HIT-2021
This is a repository containing interesting JAVA projects that I have worked on for the HIT course on JAVA
This repository contains the code for the Honeywell Hackathon 2021 competition for the problem statement "Generating Insights from Surveillance Videos"
A machine learning project solving the famous IRIS flower dataset on Kaggle . See the description for further information . This project focuses on the famous IRIS flower dataset on Kaggle . The dataset consists of four feature variables namely :sepal width ,sepal height , petal width and petal height . The target variable is the flower species which is given by the "species" column in the dataset . This project depicts the accuracy provided by different classification algorithms like KNN,SVM etc and compares their respective performances.
An efficient logistic regression code to categorize patients of Coronary Heart Defect . This project categorizes patients into ailing and disease-free . It also generates a "heatmap" to depict the relation between the different features of the dataset. The code uses feature-extraction and feature-engineering to generate relevant features. It also creates a classification-report to depict the performance of the algorithm .
Testing various Python libraries to implement a Feedforward Neural Network for Regression
Obstacle Avoidance using ROS
Autonomous Obstacle Avoidance Robot ROS + GAZEBO
Hi friends , this repository of mine will contain codes for different robotics challenges that are faced by coders like obstacle avoidance , line follower etc. Feel free to fork any code that interests you :)
Energy Conversion and Management - Wind farm layout optimization based on support vector regression guided genetic algorithm with consideration of participation among landowners
APIs for the Wind Farm Layout Optimization competition