Pinned Repositories
bootcamp2022
The repo for all content related to Bootcamp 2022.
Classify-Object-Behavior-to-Enhance-the-Safety-of-Autonomous-Vehicles
Submission Repo for MathWorks Excellence in Innovation program.
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
Objective: To simulate the properties of an Antenna such that it gives the phase difference in which the elements need to be manufactured such that the Antenna provides stable Transmission and Reception.
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-
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.
Real-time-Proximity-AND-health-monitoring-cum-alert-system-with-ML-Enabled-Predicting-Model
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.
UX-Design-for-application--ONLINE-MEDICAL-SERVICES-
Application : Medico365 (Open Sourced design in Behance) || UX for online medical consultancy application.
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.
Voice-assisted-cum--Obstacle-detection-miniature-vehicle
Objective : To develop an connected device/vehicle that obeys the command from the user’s voice through an Android application and acts According to the instructions.
DHEEPAK29's Repositories
DHEEPAK29/Estimation_of_PHASE_CORRECTION_ERROR_OF_Reflect_Array_Antenna
Objective: To simulate the properties of an Antenna such that it gives the phase difference in which the elements need to be manufactured such that the Antenna provides stable Transmission and Reception.
DHEEPAK29/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.
DHEEPAK29/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.
DHEEPAK29/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.
DHEEPAK29/Real-time-Proximity-AND-health-monitoring-cum-alert-system-with-ML-Enabled-Predicting-Model
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.
DHEEPAK29/UX-Design-for-application--ONLINE-MEDICAL-SERVICES-
Application : Medico365 (Open Sourced design in Behance) || UX for online medical consultancy application.
DHEEPAK29/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.
DHEEPAK29/Voice-assisted-cum--Obstacle-detection-miniature-vehicle
Objective : To develop an connected device/vehicle that obeys the command from the user’s voice through an Android application and acts According to the instructions.
DHEEPAK29/bootcamp2022
The repo for all content related to Bootcamp 2022.
DHEEPAK29/Classify-Object-Behavior-to-Enhance-the-Safety-of-Autonomous-Vehicles
Submission Repo for MathWorks Excellence in Innovation program.
DHEEPAK29/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.
DHEEPAK29/PowerShell-Docs
The official PowerShell documentation sources
DHEEPAK29/Prediction-with-Keras-Deep-Learning
Deep Learning model with Keras.
DHEEPAK29/python-for-matlab-development
Source Code for 'Python for MATLAB Development' by Albert Danial