Crop.py is a smart, end-to-end crop management system.
Machine Learning, Front-end Developer · I visualised and analysed 10 years worth of time series data of Temperature, Rainfall and Humidity of the… · More Vadodara district of Gujarat. Using this, I developed SVRs for the same using the Scikit-learn Implementation of Support Vector Regression. After predicting the weather conditions at any given time and analysing soil quality and nutrient profile,the data was used to check for economic feasibility of a crop, to help farmers make an informed decision.
Crop.py is a smart, end-to-end crop management system. It provides actionable recommendations for your crop needs, gives you additional information for crops, and provides a simple, easy-to-use platform for buyers to connect to farmers.
The situation in Indian Agriculture, and particularly farmer distress, is increasingly getting the focus, reaching centre stage in The Media and public discourse; at long last, Agriculture is showing signs of getting the attention it richly deserves; for too long we Urban Indians have ignored Indian Agriculture. Our team aims to tackle this issue by using machine learning to eradicate old-school myths and act as reliable source for farmers to get information regarding a wide variety of crops catered to their environment.
Web App that identifies users based on typing style
The web app used a Django framework, a two-step verification system with phone OTP verification and the data set was created using GAN (Generative Adverserial Neural Network).
Implementing a QR Code powered Treasure Hunt. It consists of an admin web app and an Android app for the participants. The admin web app used a Django REST framework to receive and send data via API calls to and from the Android app. The QR code generated on the website is scanned by the Android app which presents this information as a clue.
DJ-Lit-Forum - Forum Application for DJ Literary Society
Back end developer, Python/Django, SQL · Modified Misago settings and worked on the database
Built a forum web app for the entire college.… · More Implementing different categories for the different departments and threads in each of these categories. It is built using the Misago framework built on top of Django.
I am third year engineering student working in Machine Learning. I am experienced in statistical methods and am delving deeper into neural networks. I am also a full stack web developer. My preferred languages are Python and C++. I enjoy learning new things and doing a DFS into my areas of interest.
I am passionate about Machine Learning with Limited Supervision. Particular, I have worked in the vision and language domain. I also have extensive professional Data Science experience, doing customer behavior analysis and time series prediction.