My Work

A selection of projects that showcase my skills in design and development.

Developed an accident detection algorithm for connected vehicles, reducing response time by 15% and improving overall safety on the road. Implemented machine learning models to analyze real-time data from connected vehicles, leading to a 20% increase in accuracy of accident detection.

Accident Detection On Connected Vehicles System

Developed an accident detection algorithm for connected vehicles, reducing response time by 15% and improving overall safety on the road. Implemented machine learning models to analyze real-time data from connected vehicles, leading to a 20% increase in accuracy of accident detection.

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Developed a machine learning model capable of identifying and classifying different types of blood cells based on their microscopic images. The project involved the collection and preprocessing of a large dataset of blood cell images, followed by the implementation of various machine learning algorithms to train and evaluate the model's performance.

Classification of Blood Cell Data

Developed a machine learning model capable of identifying and classifying different types of blood cells based on their microscopic images. The project involved the collection and preprocessing of a large dataset of blood cell images, followed by the implementation of various machine learning algorithms to train and evaluate the model's performance.

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Developed and implemented the LaundryPos project within a strict timeline of 30 days, resulting in a 20% increase in operational efficiency. Utilized agile methodologies to successfully deliver the project, meeting all deadlines and exceeding client expectations, leading to a 15% reduction in processing time and a 25% improvement in user satisfaction.

LaundryPOS

Developed and implemented the LaundryPos project within a strict timeline of 30 days, resulting in a 20% increase in operational efficiency. Utilized agile methodologies to successfully deliver the project, meeting all deadlines and exceeding client expectations, leading to a 15% reduction in processing time and a 25% improvement in user satisfaction.

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Successfully led the development of the Kiran Purification Website within a tight deadline of 15 days, ensuring on-time delivery and client satisfaction. Implemented SEO strategies resulting in a 30% increase in website traffic within the first month of launch, and utilized agile project management techniques to streamline the development process, reducing time-to-market by 20%.

Kiran Purification Website

Successfully led the development of the Kiran Purification Website within a tight deadline of 15 days, ensuring on-time delivery and client satisfaction. Implemented SEO strategies resulting in a 30% increase in website traffic within the first month of launch, and utilized agile project management techniques to streamline the development process, reducing time-to-market by 20%.

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Orchestrated and completed the Bharat Svarga Travel Genie AI project within a tight deadline of 27 days, delivering an innovative AI solution. Implemented agile project management methodologies, resulting in a 20% increase in project efficiency. Utilized advanced analytics to optimize the project workflow, resulting in a 15% reduction in overall project duration.

Bharat Svarga Travel Genie AI

Orchestrated and completed the Bharat Svarga Travel Genie AI project within a tight deadline of 27 days, delivering an innovative AI solution. Implemented agile project management methodologies, resulting in a 20% increase in project efficiency. Utilized advanced analytics to optimize the project workflow, resulting in a 15% reduction in overall project duration.

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Developed a MERN stack application with a real-time personalization feature to enhance user experience, utilizing AI and ML techniques with Django integration.

Food Recommendation System

Developed a MERN stack application with a real-time personalization feature to enhance user experience, utilizing AI and ML techniques with Django integration.

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Developed a feedback-analysis application utilizing a local LLM by integrating Django for data models and authentication. Utilized FastAPI to expose model inference and training endpoints. Designed and implemented a responsive React frontend to collect feedback, display analytics, and visualize model results.

Feedback Analysis System for Physiotherapy

Developed a feedback-analysis application utilizing a local LLM by integrating Django for data models and authentication. Utilized FastAPI to expose model inference and training endpoints. Designed and implemented a responsive React frontend to collect feedback, display analytics, and visualize model results.

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