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Dheepak G's Projects

diabetes-detection-prediction-using-machine-learning icon diabetes-detection-prediction-using-machine-learning

Objective : To predict and match with Machine Learning model in comparison to real time data based on certain diagnostic parameters included in the dataset. Pima Indians with type 2 diabetes are metabolically characterized by, Obesity. Insulin resistance. Insulin secretory dysfunction. Increased rates of endogenous glucose production. which are the clinical characteristics that define this disease across most populations . Using mathematical models to analyze how Pregnant women are prone to be Diabetic. Generate Clear understanding of how the disease is vulnerable among population.

estimation-of-phase-correction-error-of-reflect-array-antenna icon estimation-of-phase-correction-error-of-reflect-array-antenna

Designed end to end model for computing the phase correction error factor and 3D simulation model for properties ofreflect arrays and parabolic reflectors to calculate phase difference of patch elements using High performance clusters, whichserves as reference for antenna fabrication to ensure stable Transmission and Reception.

future-trend-prediction-using-meta-s-prophet icon future-trend-prediction-using-meta-s-prophet

Objective : To forecast the future trend (i.e., Uptrend/ Downtrend) of an entity, a person, a product, a share, or a commodity using the past data present in the wikipediatrend library. || Library : Meta Prophet AI(R/Python). || Data : Wikipedia trend library.

image-segmentation-using-pytorch- icon image-segmentation-using-pytorch-

Objective : Build an ML model to segment the object from the environment and produce desired optimized Ground truth images. In addition, Albumentations library is used as an optimizer to the segmentation dataset to make a cost-effective model for integration.

matlab-live-task-for-python icon matlab-live-task-for-python

The MATLAB® Live Task for Python® enables you to write and execute Python code directly inside of a MATLAB Live Script.

medico-365 icon medico-365

Application : Medico365 (Open Sourced design in Behance) || UX for online medical consultancy application.

project-ml-iot icon project-ml-iot

Objective : To help Doctors (or) Supervisors remotely monitor the Condition of the ambiance, Health condition, and the proximity from the set location of a Patient (or) Person under observation. This project imbibes the concept of the Internet of Things (IoT) and so the data is accessible seamlessly even if the supervisor is remote. Using range detection techniques and health parameters, Manipulations are done in the backend such that the alerts are notified based on set conditions to the respective person in case of emergency, we can conclusively predict the condition of a Patient (or) Person under observation remotely and accurately. Further, the data received from a patient is integrated into the database for analytics in Machine Learning (ML) to predict the reaction of another patient who suffers from the same disease or condition in the future. In addition, the product is feasible to be designed as a Handy and User-Friendly prototype, Cost-Efficient model, Less power-consuming mechanism, and Alterable Design.

verilog_implementation_of_vending_machine icon verilog_implementation_of_vending_machine

A sequence detector is a sequential state machine. In a Moore machine, output depends only on the present state and not dependent on the input (x). Hence in the diagram, the output is written with the states. In a mealy machine, output depends both on the present state and on the input (x). The vending machine takes coins as inputs in virtually any sequence and delivers products when Required amount is deposited and provides back the modification that is noticeable entered quantity is more than the price of product. The proposed algorithm is implemented in Verilog HDL and simulated Xilinx ISE simulator.

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