Dedicated, careful Web and Python Developer with strong hands-on experience developing responsive web applications and Python solutions. Skilled in APIs integration, application performance optimization, and user-friendly interface crafting. Proven ability to collaborate in dynamic teams with a focus on delivering scalable, efficient, and well-documented solutions.
Contributed to designing and updating scalable software solutions using Python. Automated data processing workflows, reducing manual effort by [specific percentage or hours saved, if known]. Worked on cross-functional teams to implement Python-based solutions onto legacy systems.
I collaborated with the development team to design interesting, interactive responsive web applications that had solid end-user experiences and performance. Developed a Weather Application that Introduced Real-time Access to Weather Data using RESTful APIs, Location-based Updates and Visuals.
Title:Agriculture Crop Selection and Yield Forecasting
Technologies: Python and Machine Learning
Description: In the world of developing technologies, the success of sharing information will help the agriculturists in realizing and developing their potential. The information sharing is that the valuable and timely information is being shared between agriculturists, either formally or informally. The willingness of information sharing refers to the open attitude among agriculturists. This open attitude determines the degree and scope of information sharing. Using web-technologies like html and css we build the web application, We create dataset by gathering data from multiple resources and place them in place which is used to predict the price of the crop and results are subjected to non-linear test later priorities are set and rankings are given to the list of crops.
Title:Face Recognition using computer vision
Technologies:Python,open cv
Description: Face recognition using several classifiers available in the open computer vision library(OpenCV). Face recognition is a non-invasive identification system and faster than other systems since multiple faces can be analysed at the same time. The difference between face detection and identification is, face detection is to identify a face from an image and locate the face.