Pinned Repositories
ansh-tandon
Automated-Attendance-Management
PehChaan - An Automated Attendance System using Face Recognition and RFID Scanner
CareerLift
Full-fledged Placement-oriented Website & App is that many students struggle to find suitable job opportunities after graduation. While there are many job portals and websites available, they often lack relevant information, personalization, and interactivity, which makes the job search process overwhelming and time-consuming
Cricket-Scorecard-Management-
Deepfake_detection_Lipsync
Dogs-vs-Cats-using-CNN
Fashion-MNIST
Creating a CNN model using keras Tuner and image classification of variois products(clothes,shoes,dress.etc) and getting an accuracy of 97.13% and validation accuracy of 90%
SIH-AI-enabled-Water-Well-Prediction-Model
JalShakti- An AI-enabled Water Well Predictor
Stock-Price-Prediction
Attendance-Management
Automated Attendance using Face Recognition and Firebase
ansh-tandon's Repositories
ansh-tandon/Automated-Attendance-Management
PehChaan - An Automated Attendance System using Face Recognition and RFID Scanner
ansh-tandon/ansh-tandon
ansh-tandon/CareerLift
Full-fledged Placement-oriented Website & App is that many students struggle to find suitable job opportunities after graduation. While there are many job portals and websites available, they often lack relevant information, personalization, and interactivity, which makes the job search process overwhelming and time-consuming
ansh-tandon/Cricket-Scorecard-Management-
ansh-tandon/Deepfake_detection_Lipsync
ansh-tandon/Dogs-vs-Cats-using-CNN
ansh-tandon/DSA
ansh-tandon/Fashion-MNIST
Creating a CNN model using keras Tuner and image classification of variois products(clothes,shoes,dress.etc) and getting an accuracy of 97.13% and validation accuracy of 90%
ansh-tandon/SIH-AI-enabled-Water-Well-Prediction-Model
JalShakti- An AI-enabled Water Well Predictor
ansh-tandon/Stock-Price-Prediction
ansh-tandon/EY-Hackathon-AI-Powered-Direct-Sales-Platform
EY Hackathon
ansh-tandon/GDSC-Task-AI-
Classification and Regression problem has been solved on the respective datasets
ansh-tandon/ICP-Smart--Wallet
ansh-tandon/IEEE-Task-IRIS-DATASET-Descriptive-analysis
ansh-tandon/LGMVIP-DATA-SCIENCE-TASK
ansh-tandon/Logistic-Regression-Customer-Purchasing-Prediction-
Logistic regression model to predict whether a particular Gender(Male or Female) will purchase the product based on their estimated age and salary. Accuracy of 83% have been obtained by this precesive model using maximum likelihood estimation of error and Confusion Matrix as well.
ansh-tandon/Madlibs_python
ansh-tandon/Poker-Hand-Strngth-Predictor
ansh-tandon/Portfolio
ansh-tandon/portfolioapp
ansh-tandon/Quiz_python
ansh-tandon/Resume_Reader
ansh-tandon/Terrorism_Data_Visulaization
ansh-tandon/Tesla-Stocks-Prediction-using-Linear-Regression
Prediction of the Closing values of the stocks have been determined using Linear Regression technique. Features include Open, High, Low and Volume
ansh-tandon/VeriFyn-
ansh-tandon/weather