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Ambitious B.Tech CS student with expertise in web dev, IT security, and AI projects. Completed internships at AICTE-Edunet Foundation, Oasis Infobyte & more.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Youtube-Downloader-Extension
April 11, 2025 – April 12, 2025
A browser extension to download YouTube videos seamlessly. Built with JavaScript and Python, it provides an intuitive user interface and robust backend functionality to ensure a smooth video downloading experience.
View ProjectForest-Fire-Detection-using-DL
April 3, 2025 – April 17, 2025
A deep learning solution for detecting forest fires using sensor data and imagery. This repository includes a Jupyter Notebook that trains and evaluates models for early fire detection to improve disaster prevention.
View ProjectSlow_Scan_Television-SSTV
February 24, 2025 – February 24, 2025
Slow_Scan_Television-SSTV — repository
View ProjectPortfolioKrDevanshu06.github.io
February 22, 2025 – February 22, 2025
Professional Portfolio
View Projectsteganography-app
February 21, 2025 – February 22, 2025
This project is a steganography tool that allows users to hide and extract secret messages within images using Least Significant Bit (LSB) encoding. The tool provides a user-friendly Streamlit UI for seamless encoding and decoding of messages.
View Projectquery-chatbot
February 12, 2025 – February 14, 2025
AI-powered chatbot for querying supplier and product data using natural language. Built with React, FastAPI, and OpenAI.
View ProjectPlant-Disease-Detection-System-for-Sustainable-Agriculture
January 21, 2025 – February 21, 2025
AI-powered Plant Health Detection System for sustainable agriculture. Uses CNNs to identify plant diseases with 97% accuracy. Features real-time diagnostics via a Streamlit app, scalable design for diverse crops, and promotes eco-friendly farming. Clone, run, and enhance!
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and demonstrate a strong interest in self-driven learning and exploration, particularly in AI/ML domains. However, the lack of professional experience or team-based projects makes it difficult to assess cultural fit in a collaborative work environment. The project diversity is good within the AI/ML space, but broader industry exposure is not evident.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback are available.