
SWE
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
MediCall-AI
November 6, 2025 – November 6, 2025
AI-powered voice assistant that autonomously calls users, collects health data, and schedules appointments.
View ProjectMajorProject
May 12, 2024 – May 23, 2024
Finding optimal Cluster Head in SD-WSN using Nature Inspired Algorithm (WOA).
View ProjectDDoS-Major-Project
December 14, 2023 – December 14, 2023
This repository contains the implementation of a DDoS (Distributed Denial of Service) detection and mitigation system leveraging Machine Learning techniques. The project focuses on enhancing network security in Software-Defined Networking (SDN) environments.
View ProjectGAJA-GAdget-for-Jungle-Animals
October 6, 2023 – July 24, 2025
GAJA - IoT-based Elephant Detection System for Railway Safety & Wildlife Protection. Real-time alerts for train drivers.
View ProjectCat-Vs-Dog-Classifier
October 6, 2023 – October 16, 2023
Built an image classifier using deep learning techniques to distinguish between cats and dogs. The model is trained on a dataset of labeled cat and dog images, achieving high accuracy in pet identification.
View Projectfoxaisr-whatsapp-django
January 24, 2023 – February 7, 2023
This repository is an implementation of integrating WhatsApp API with Django. It allows sending and receiving messages to a given phone number using the WhatsApp Business API. The repository includes a Django app that handles the communication with the WhatsApp API and provides a user-friendly interface for sending and receiving messages.
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and demonstrate initiative and a passion for technology. However, without information on team-based projects, open-source contributions, or community involvement, it's difficult to assess cultural fit comprehensively. The projects show a breadth of interest in AI/ML and IoT, which could align with an innovative culture.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions are clear but do not provide insights into collaboration, problem-solving approaches, or communication styles.