Hemanth Terli
@hemanth8705
Hemanth Terli
@hemanth8705
Terli Hemanth is a passionate and driven Machine Learning and Generative AI enthusiast with a knack for solving complex problems through innovation. He has extensive experience working on projects inv
Terli Hemanth is a passionate and driven Machine Learning and Generative AI enthusiast with a knack for solving complex problems through innovation. He has extensive experience working on projects inv
Vijayawada, India
Project Overview: This portfolio showcases the projects of Terli Hemanth, a machine learning and AI enthusiast with a focus on generative models, computer vision, and real-time data analysis. The portfolio highlights various projects, hackathon contributions, and professional work experience.
Tech Stack:
Programming Languages: Python, JavaScript, HTML, CSS
Frameworks & Libraries: TensorFlow, PyTorch, Streamlit, Flask, Angular, AWS Amplify, OpenCV, Dlib
Database Technologies: PostgreSQL, InfluxDB/TimescaleDB, Redis
Cloud & DevOps Tools: AWS Amplify, GitHub Actions (CI/CD pipelines)
Notable Projects:
Emotion Recognition System - Built using Keras, Data Augmentation, and Transfer Learning with VGG19 and ResNet for facial emotion recognition.
Meme Editor with Face Detection - An interactive tool built using OpenCV, Streamlit, and Flask, allowing users to create dynamic memes with text boxes over detected faces.
Stock Price Prediction using Reinforcement Learning - A real-time stock price prediction model that incorporates 44-day and 200-day moving averages, pivot points, and reinforcement learning techniques to forecast daily closing prices.
News Sentiment Analysis - Analyzes sentiment from Twitter posts, YouTube videos, comments, and news articles using NLP and machine learning techniques.
Recommendation System for Meme Templates - A content-based filtering system integrated into a web app for suggesting meme templates based on user preferences.