CS Grad student , Competitive Programmer. Interested in Wed Dev and Designing(ps,ai,pr) (Data Science enthusiast ).
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Swift-Weather-App
December 30, 2024 – December 30, 2024
This repository contains the code for an iOS weather application built using Swift and Xcode. The app showcases real-time weather information and supports features like location-based updates, favorite city management, and social media sharing using APIs.
View ProjectWeather-App--React-Node
November 28, 2024 – December 30, 2024
Weather Search Responsive App
View ProjectSTOCK-MARKET-TREND-PREDICTION
June 1, 2022 – June 1, 2022
Stock market trend prediction and analysis using deep learning models and Visual representation along with sentiment analysis on stock market news . And Trading agents whcih plan investment strategy based on input of the best deep learning model.
View ProjectStock-Market-Prediction-and-Analysis
March 24, 2022 – June 5, 2022
An Analysis of Different Neural Network Models and Visualizing the same
View Projectroad-surface--pothole-detection
December 9, 2021 – December 9, 2021
Detects rough roads / potholes based on IOT principles and sensors and gives accurate location and sms alert.
View ProjectFace-mask-detection-model
May 19, 2021 – May 19, 2021
To identify the mask, TensorFlow/Keras is used to preprocess and create the model. Using an efficient neural network and MobileNetV2 model from Keras/ TensorFlow this model is developed
View ProjectParallel-and-Distributed-computing
May 19, 2021 – May 19, 2021
Implementing Flyod Warshall algo parallely
View ProjectSoftware-Engineering-proj
May 19, 2021 – May 19, 2021
Movie Recommendation and Critique System
View ProjectStock-market-prediction
May 19, 2021 – May 19, 2021
Stock Market Prediction using Deep Learning and Markov Chain Models The models is combination of RNN ( Recurrent Neural Network ), MCM’s( Markov Chain Models ), LSTM( Long Short Term Memory)
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong inclination towards personal projects, particularly in data science and machine learning. There is also diversity in other areas like mobile development (Swift, React/Node weather apps) and embedded systems (pothole detection). However, without professional experience or team-based project descriptions, it's difficult to assess collaboration or cultural alignment. The focus on personal projects suggests self-motivation and initiative.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions are brief, and there is no information on teamwork, problem-solving approaches, or communication style.