Noteworthy Personal Projects

• Spotting the Golden Grains - Innovative Wheat Detection Technique

  

  While harvesting a big land of wheat grains, it generally takes a lot of time and man power. To automate the process, This wheat detection technique can be used to integrate in the robots so that there would be decrease in time and cost.

  Using Image processing, Computer vision techniques with pre-trained Deep Learning models.

• House Prices Prediction

  

  Imagine being a student in a new place. It can get so confusing if you need to find a rental house. My solution will use specific parameters which are relevant to students like bus stops, class routes, eateries, hang out places, and predicts specific locations which make house hunting easy.

  Using Python and ML Techniques

• Mental Health Prediction in Tech Employees

  

  Assessing the historical health records of Tech Community personnel and forecasting the mental well-being of incoming employees, accomplished through the utilization of the Python Language.

  Using Python Vizualizations, Analysis and ML Techniques

• Performance Comparison of Neural Architecture Search on Convolutional Neural Networks on Non-Standard Dataset

  

  Analysis of the performance of Neural Architectural Search methods (Reinforcement Learning, Gradient based Optimization and Evolutionary Algorithm) based on model size, accuracy, etc. parameters. The research paper is being Presented in the ICVGIP conference in IIT Jodhpur.

  Using ML, Deep Learning and Computer Vision Techniques

• Deploy Binary Neural Network Using LARQ Compute Engine

  

  Deploying optimal Binary Neural Network from a set of Binary Neural Networks using NAS which takes less memory to use it for embedded systems. This project is being done in collaboration with Samsung Research Institute, Bangalore.

  Using ML, Deep Learning and Computer Vision Techniques

• Design optimized Binary Neural Network using NAS

  

  Finding optimal Binary Neural Network from a set of Binary Neural Networks using NAS which takes less memory to use it for embedded systems. This project is being done in collaboration with Samsung Research Institute, Bangalore.

  Using ML, Deep Learning and Computer Vision Techniques

• Time Series of Cryptocurrency with R

  

  In this project, we examined fundamental methodologies for the visualization of cryptocurrency data, the computation of moving averages for trend analysis, and the derivation of returns from Bitcoin data. These tasks were accomplished using the R Language.

  Using Vizualization, Time Series Forecasting Techniques

• Defining and Solving Reinforcement Learning Environment

  

  Leveraging comprehension of Reinforcement Learning and the optimal procedure for the agent's attainment of objectives, an interactive grid world was established. This grid world was designed around the Super Mario game concept, wherein the agent embodies Mario, and the ultimate objective involves reaching the princess. The development process was undertaken employing Python and machine learning methodologies.

  Using Python and ML methodologies

• Organize for Life

  

  The persistent challenge in medicine lies in timely donor matching. To address this, a database was devised enabling doctors to specify requirements such as blood and organ types, facilitating efficient organ selection for life-saving.

  Using DMQL and SQL Techniques

• Secondary Insurance Prediction

  

  Finding the company"’"s benefit of providing Secondary Insurance to the customers by analyzing the inputs given from the current customers and predicting the response of upcoming customers.

  Using Python Vizualizations, Analysis and ML Techniques