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TFOD--Cards-Detection
February 23, 2021 – February 23, 2021
TFOD--Cards-Detection — GitHub repository
View ProjectSPELLING-CORRECTOR
February 22, 2021 – February 22, 2021
SPELLING-CORRECTOR — GitHub repository
View ProjectSpeech-To-Text
February 22, 2021 – February 22, 2021
In this project our goal is to achieve the problem of converting audio data into textual data.
View ProjectDog_Cat-Images-Classification
January 17, 2021 – January 17, 2021
Dog_Cat-Images-Classification — GitHub repository
View ProjectThyroid-_Detection
December 2, 2020 – December 2, 2020
To build a classification methodology to predict the type of Thyroid based on the given training data.
View ProjectWafer-Fault-Detection
December 2, 2020 – December 2, 2020
To build a classification methodology to predict the quality of wafer sensors based on the given training data.
View ProjectDigit-Classification--CNN-OpenCV
August 1, 2020 – December 8, 2022
This project in about Digit CLassification by using OpenCV and CNN. By using real time we able to classiy the digit with 70-80% accuracy.
View ProjectGUI--Movie-Recommendation-System
July 31, 2020 – February 15, 2021
I just developed a GUI- based Movie Recommendation System that recommends movies similar to the movie that users search. This is developed using python's GUI- Graphical user interface. I Gathered data from Kaggle and also Used an API by TMDB, https://lnkd.in/d4c4F35.
View ProjectResume-Classification-Parsing-
July 23, 2020 – July 23, 2020
I got 100 Cv's and Then I classify them in two differnt cluster one is technical and another is non-technical. I used K-means Clustering along with NLP and tfidfvectorizer.
View ProjectCar-Price-Prediction
July 14, 2020 – July 14, 2020
Hey, So I've used a Kaggle car data set for this project. I firstly perform EDA on the data set and after that apply Machine learning models in that data set to predict the sale price.
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong inclination towards self-driven learning and practical application of Data Science concepts, which could indicate a proactive and curious mindset. The diversity of projects (image, text, tabular data) suggests adaptability. However, without information on team projects or professional experience, assessing collaboration and broader cultural fit is challenging.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions are brief, limiting insight into collaboration, problem-solving approaches, or communication style.