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HyperFetch
June 15, 2026 – Present
HyperFetch - segmented multi-connection download accelerator (IDM-style) with browser extension, HLS support, and a PySide6 desktop GUI.
View ProjectQuizAI
May 22, 2026 – Present
Desktop AI study assistant. Capture a quiz or exam question on your screen, get a clear answer and explanation in seconds.
View ProjectRPA-Newsletter
September 12, 2025 – September 12, 2025
RPA-Newsletter — GitHub repository
View ProjectPLANT-DISEASE-DETECTION-USING-VGG-16-AND-FLASK-FRAMEWORK
May 27, 2023 – May 27, 2023
PLANT DISEASE DETECTION USING VGG-16 AND FLASK FRAMEWORK
View ProjectCovid-19-Detection-from-X-rays-Using-Transfer-Learning
May 21, 2023 – May 21, 2023
Covid-19-Detection-from-X-rays-Using-Transfer-Learning — GitHub repository
View ProjectAutomated-Student-Attendance
May 20, 2023 – May 21, 2023
The "Automated Student Attendance System" repository is a Python-based project that utilizes face recognition technology to automate the process of recording student attendance. The system captures students' faces through a webcam, matches them with the pre-registered images in the training dataset, and marks their attendance
View ProjectNetwork-Intrusion-Detection-System-using-various-Machine-Learning-Techniques
July 31, 2022 – July 31, 2022
In this Project, we aim at developing a Network Intrusion Detection System using various Machine Learning Techniques: Logistic Regression, Decision Tree, Random Forest, Multi-Layer Perceptron, Support Vector Machine and Naïve Bayes.
View ProjectHybridized-Cryptographic-Encryption-and-Decryption-using-Symmetric-Techniques
July 31, 2022 – July 31, 2022
We built a Hybrid Cryptography Algorithm with the idea of integrating AES into the fiestal architecture of DES, embracing advantages from either of the constituent standards
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong inclination towards personal projects, many of which align with the target role of Data Scientist. However, the lack of team-based projects or professional experience makes it difficult to fully assess cultural fit. The diversity of projects, from ML to web development and cryptography, suggests a broad technical curiosity.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions indicate an ability to work on self-directed technical tasks.