Pinned Repositories
A-Recommendation-system-for-Facial-Skin-Care-using-Machine-Learning-Models
Transforming skincare recommendations: our hybrid system combines KNN, CNN, and EfficientNet B0 for personalized advice. Published in IEEE, with 80% validation accuracy and 87.10% training accuracy.
AI-LAB-CODES
FRONTAL_FACE_DETECTOR
This project has the necessary files and codes that helps to detect the faces in a given picture.
LGMVIP-DataScience
pattaputejasri
Teja Sri's portfolio
Python-Rock-Paper-Scissors-Game
The object of the rock-paper-scissor python project is to build a game for a single player that plays with a computer, anywhere, and anytime. This project is base on the rules that: rock blunts scissors so rock wins scissors cut the paper so scissors win paper cover rock so paper wins
TEACH-IMAGES-TO-A-BABY-MACHINE
text-to-speech-converter
Convert Written Text into Natural-Sounding Audio in a Variety of Languages and Voices.
WAN-design-for-multiple-office-connectivity
Wine-Quality-Analysis
Wine Quality Analysis using Machine Learning
pattaputejasri's Repositories
pattaputejasri/text-to-speech-converter
Convert Written Text into Natural-Sounding Audio in a Variety of Languages and Voices.
pattaputejasri/FRONTAL_FACE_DETECTOR
This project has the necessary files and codes that helps to detect the faces in a given picture.
pattaputejasri/LGMVIP-DataScience
pattaputejasri/pattaputejasri
Teja Sri's portfolio
pattaputejasri/Python-Rock-Paper-Scissors-Game
The object of the rock-paper-scissor python project is to build a game for a single player that plays with a computer, anywhere, and anytime. This project is base on the rules that: rock blunts scissors so rock wins scissors cut the paper so scissors win paper cover rock so paper wins
pattaputejasri/TEACH-IMAGES-TO-A-BABY-MACHINE
pattaputejasri/WAN-design-for-multiple-office-connectivity
pattaputejasri/Wine-Quality-Analysis
Wine Quality Analysis using Machine Learning
pattaputejasri/A-Recommendation-system-for-Facial-Skin-Care-using-Machine-Learning-Models
Transforming skincare recommendations: our hybrid system combines KNN, CNN, and EfficientNet B0 for personalized advice. Published in IEEE, with 80% validation accuracy and 87.10% training accuracy.
pattaputejasri/AI-LAB-CODES
pattaputejasri/best-ad-predictor
pattaputejasri/CD-LAB-CODES
pattaputejasri/chatbot
pattaputejasri/convert-image-to-cartoon
pattaputejasri/DUPLICATE-FILE-REMOVER
pattaputejasri/handwritten_digit-prediction
pattaputejasri/hierarchial_clustering
pattaputejasri/Inventory_Mangement_System
pattaputejasri/linear_discriminant_analysis
pattaputejasri/Optimizing-Real-Time-Path-Planning-for-NPC-Navigation-Leveraging-CentA--Algorithm
CentA*, an A* algorithm extension, revolutionizes NPC pathfinding in Unreal Engine 5. Optimal start and end node selection improves efficiency. Developed with Blueprints and C++, it introduces diverse enemy behaviors via a behavior tree. Balancing accuracy and efficiency accommodates obstacles, dynamic environments, and multiple agents.
pattaputejasri/personal-portfolio
pattaputejasri/Social_Distance_Detector
pattaputejasri/UI-UX-designs