Help & Supportcareers@gravityer.com
Passionate about Full Stack Web Dev and ML enthusiast. Constantly learning, coding, and seeking collaborations. Let's build something amazing together!
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
TCS-NQT-CODING-PYQ-PRAC
March 19, 2025 – March 19, 2025
TCS NQT previous years' questions (Java and Python)
View ProjectSpeech-Emotion-Recognition-with-MFCC
December 28, 2024 – December 28, 2024
A project to classify emotions like happiness, sadness, and anger from speech using MFCCs, machine learning models, and visualizations for audio features and model performance.
View ProjectVox-Debate
December 21, 2024 – April 7, 2025
VoxDebate is an AI-powered debate platform built on the MERN stack, featuring voice input, real-time sentiment analysis with Hugging Face, and intelligent responses via Google Gemini Pro. With a sleek design using Tailwind CSS and shadcn-ui, it offers a dynamic, responsive, and engaging experience for meaningful discussions.
View ProjectStock-Price-Prediction-with-Sentiment-Analysis-LSTM
November 20, 2024 – November 20, 2024
Stock-Price-Prediction-with-Sentiment-Analysis-LSTM — repository
View ProjectPredictiX
July 8, 2024 – June 20, 2025
PredictiX is a comprehensive multi-disease prediction system built using the MERN stack and integrated with machine learning models. It accurately predicts lung cancer, breast cancer, diabetes, and heart disease, providing a seamless user experience for health diagnostics.
View ProjectLung-Cancer-Prediction-using-CNN-and-Transfer-Learning
July 1, 2024 – July 1, 2024
A deep learning-based system for predicting lung cancer from CT scan images using Convolutional Neural Networks (CNN). This project utilizes the Xception model for image classification into four categories: Normal, Adenocarcinoma, Large Cell Carcinoma, and Squamous Cell Carcinoma.
View ProjectPDF-Converter
May 4, 2024 – May 11, 2024
This is a simple web application built with React.js, Node.js, and Vite that allows users to convert DOCX files to PDF format. The app utilizes the Multer middleware for file uploads, Docx to Pdf npm library for efficient conversion, and Tailwind CSS for styling.
View ProjectUltimate-Tic-Tac-Toe
April 1, 2024 – April 1, 2024
Ultimate Tic Tac Toe is a web-based game developed using React JS and Vite, offering a customizable grid size from 3x3 to 10x10. Enjoy a responsive design, new game button, undo button, player name input, and easy access to game rules. Experience the excitement of Ultimate Tic Tac Toe today!
View ProjectMy-Todo-List-using-Firebase
March 12, 2024 – April 1, 2024
A simple todo list application built with React, Vite, and Firebase. Users can securely sign up, log in, and manage their todo items in real-time with Firebase's real-time database. The application features CRUD operations, authentication, and a responsive design, making it easy to use across different devices.
View ProjectWill-you-go-out-with-me
November 27, 2023 – February 1, 2024
Will you go out with me is a simple and playful project that adds a twist to the typical decision-making process. This project allows users to invite their friends to go out through a web interface. The catch? Saying "NO" becomes a bit challenging and amusing!
View ProjectCultural Fit Analysis
The candidate's projects show a strong inclination towards personal learning and exploration across various domains, from deep learning to web development. This indicates a proactive and curious mindset. However, the projects are predominantly personal and lack evidence of team collaboration or contributions to open-source/community projects, which are often indicators of cultural fit in a collaborative environment. The target role is 'Data Scientist', and while many projects align, the breadth of web development projects suggests a broader interest that may or may not align with a focused data science role.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions indicate an ability to work on diverse technical challenges, but there is no information on collaboration, problem-solving approach, or communication style.