ZKSafe: Enhancing Crypto Wallet Usability and Security Through Zero-Knowledge Proof-Based Authentication
Security and cryptocurrency wallet use are still at the center of the issues with blockchain adoption. Seed phrase-based physical wallets…
"Traditional resume analysing systems rely heavily on keyword matching and rigid formats, which can lead to qualified candidates being overlooked if they don’t conform to the system’s format. Additionally, these systems often function as “black boxes,” providing a final score without any transparency in the decision-making process. This lack of explainability can lead to biases in candidate evaluations, raising concerns about fairness and accuracy. To address these issues, this project introduces a more transparent, section-based resume scoring system. A hybrid model which integrates Named Entity Recognition, transformer neural networks, and a point-based scoring system was developed. It provides granular evaluations of each resume section. Using Explainable AI (XAI) techniques, the system provides insight into how each section's score is calculated, promoting trust and accountability. The approach also allows recruiters to adjust evaluation criteria, enhancing flexibility. The initial Named Entity Recognition (NER) model showed significant results, with an F1 score of 86.84%, a recall of 88.24%, and a precision of 85.48%. Similarly, the transformer regression model demonstrated strong performance, with an R-squared value of 0.896428, a Mean Squared Error (MSE) of 0.194837 and a Mean Absolute Error (MAE) of 0.312830. These results indicate the effectiveness of the models and their potential for further improvement."
Security and cryptocurrency wallet use are still at the center of the issues with blockchain adoption. Seed phrase-based physical wallets…
The existing traditional e-commerce systems struggle to focus the user query to give a relevant product recommendation at the end…
“The wristGuard application employs a hybrid approach, combining deep learning models for feature extraction and stacking ensemble method for classification…
“The COVID-19 epidemic changed IT industry processes by hastening the introduction of remote work. In virtual workplaces, detecting employee engagement…
“VRoxel is an innovative procedural generation system that addresses critical challenges in creating large-scale 3D environments for VR applications. The…
Block-based programming (BBP) has proven effective in teaching programming concepts, offering a visual and more intuitive approach than traditional text-based…
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