Neural Networks are awesome!!
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
auto_photomontage_webapp
December 13, 2020 – September 17, 2021
auto_photomontage_webapp — GitHub repository
View Projectai_uninformed_search_algorithms_interactive_webapp
November 22, 2020 – May 19, 2021
ai_uninformed_search_algorithms_interactive_webapp — GitHub repository
View ProjectYAMLF
June 29, 2020 – July 2, 2020
Yet Another Machine Learning Framework (YAMLF) is a lite machine learning and deep learning models training and inference framework. It contains data augmentations, data loaders, training routines that we usally rewrite for every ML project.
View ProjectIndian-rooftops-detection
October 26, 2018 – May 25, 2020
Indian-rooftops-detection — GitHub repository
View ProjectTensorFlow-data-pipeline
July 3, 2018 – October 19, 2018
TensorFlow-data-pipeline — GitHub repository
View ProjectStandard-Neural-Network-with-MNIST-data
June 25, 2018 – July 17, 2018
Standard-Neural-Network-with-MNIST-data — GitHub repository
View ProjectBest-Flat-theme-for-Jupyter-Notebook
December 7, 2017 – August 16, 2019
This custom theme is really beautiful and modern looking. It is based on flat design. Give it a try!
View ProjectCar-Parking-Alarm-System
January 14, 2017 – January 14, 2017
Security alarm system using Arduino Uno R3 microcontroller, Ultrasound sensor HC-SR04 and Arduino IDE 1.6.8. Applications of this system ranges from security systems like automated-safe security systems to car parking systems, Work on a simple system where the distance of object is measured from the ultrasound sensors and if any object is in the hazardous range then the buzzer goes on. The intensity of sound keeps on increasing as the obstacle approaches near to the ultrasonic sensors. This feature makes them an appropriate system to be embedded in cars and automobiles for parking measures as it will help determine the distance from obstacles.
View ProjectHome-Automation
January 14, 2017 – May 25, 2020
Home automation system built on Arduino Uno R3 microcontroller along with Light sensor, Motion detector, Temperature sensor, Gas sensor, Sound sensor, Buzzer, LED lights, Crystal Display and Arduino IDE 1.6.8. Home automation is the residential extension of building automation and involves the control and automation of lighting, temperature sensing, appliances, and security. The System is controlled by Arduino microcontroller which is connected to a computer for power as well as for monitoring the outputs of different sensors using serial monitor on Arduino IDE. Security sensors such as motion detector and gas sensor interact with buzzer and LED for alerts. Display unit provides the information of temperature and special messages.
View ProjectCultural Fit Analysis
The candidate shows a proactive, self-driven approach through numerous personal projects, indicating a potential fit for an innovative and learning-oriented culture. The diversity of projects, from embedded systems to web development and machine learning, suggests a broad interest in technology. However, the lack of professional experience or team-based projects makes it difficult to fully assess cultural fit in a collaborative work environment.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.