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Projects

As a computer engineering student, I possess a deep passion for project development and implementation. The world of projects fascinates me, as it offers a platform to explore innovative ideas, apply theoretical knowledge, and develop practical skills. I find immense joy in undertaking challenging projects, where I can delve into diverse domains of computer science and engineering, hone my problem-solving abilities, and gain hands-on experience. These projects allow me to embrace creativity, foster teamwork, and continuously learn and adapt to the ever-evolving field of technology. By engaging in project work, I aspire to make a meaningful contribution to the world of computing and make a positive impact on society.

01.

Resume Screening System.

The Python-based project efficiently searches and sorts resumes based on predefined keywords for streamlined job role matching. By analyzing the resumes, it identifies relevant keywords and categorizes them accordingly, making the resume sorting process effortless and effective.

02.

Advanced Agriculture Management System.

This project fetches live weather reports, predicts future weather, and notifies farmers about favorable conditions for farm work. It monitors soil moisture levels using sensors, automatically activates water supply if moisture is below the required percentage, and alerts the farmer accordingly, ensuring optimal farm management.

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DALL·E 2023-05-26 22.47.47 - 3d render of agriculture using smart sensors
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03.

Advanced Copy Checking using Machine Learning.

This project utilizes Python code to scan and convert student answer sheets into text format using OCR. It then checks the answers question-wise, matches them with predefined keywords, and assigns marks based on accuracy. Additional GPT features will be implemented to relate and score answers even if they differ from the predefined text.

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DALL·E 2023-05-26 22.44.42 - robot Copy Checking

04.

Disease Prediction by monitoring Human Blood Flow.

This project involves taking drops of human blood, passing it through a fluid-filled tunnel, and recording the flow using a camera. The video is converted into frames, and the cells (white cells, red cells, and platelets) are counted. An ML algorithm analyzes the cells for irregularities in size, color, bacterial presence, or harmful viruses to predict the presence of diseases. The prediction is enhanced by considering previous medical data stored in the cloud using blockchain technology.

05.

CD Pipeline Using AWS.

This project implements a Continuous Delivery (CD) pipeline using AWS services. It automates the build, test, and deployment processes, enabling seamless software delivery. Leveraging AWS's infrastructure and tools, it ensures efficient and reliable application updates and releases, optimizing the development lifecycle.

DALL·E 2023-05-26 22.40.20 - generate an image of human blood cells
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07.

Identification and Counting of human blood cells.

This Python-based project accurately identifies and counts human blood cells based on their size, achieving a high accuracy of 93%. Leveraging Python's capabilities and image processing techniques, it provides a reliable solution for automated blood cell analysis, aiding in medical diagnostics and research.

06.

Frame Separation from a video.

This Python-based project focuses on frame separation from videos. It efficiently processes video files, extracting individual frames. By utilizing Python libraries, it enables the extraction of frames for further analysis, processing, or visualization, expanding the possibilities of video data utilization in various applications.

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08.

Centralized System for Domotics.

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This project offers a secure and centralized home automation system. It utilizes IR technology for device control, ensuring a hack-free environment. With servers located within the building, data security is enhanced. Using a private app and private IP, devices supporting IR can be controlled. Additionally, automated features based on scheduled time or location will be incorporated.

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09.

An Android app for the management of the hostel.

This Android Studio-based project develops a management app for hostels. It enables efficient management of various hostel operations, including room allocation, fee collection, visitor management, and maintenance requests. The app provides a user-friendly interface for both administrators and residents, streamlining hostel management processes.

10.

Quantum Computing.

This project focuses on algorithm manipulation using quantum computers. Leveraging the unique properties of quantum systems, it explores advanced techniques for algorithm design and optimization. By harnessing quantum phenomena such as superposition and entanglement, it aims to enhance computational capabilities and solve complex problems more efficiently.

11.

CI/CD Pipeline Using Azure.

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This project implements a CI/CD pipeline using Azure. It automates the continuous integration and delivery process, allowing for efficient code compilation, testing, and deployment. Azure's tools and services streamline the pipeline, ensuring faster and more reliable software delivery.

12.

Medical Image Denoiser.

This project employs Python for medical image denoising. It utilizes advanced algorithms to remove noise from medical images, enhancing their clarity and accuracy for better diagnosis and analysis. The denoising process ensures improved visual quality and aids medical professionals in making more precise and reliable decisions.

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