I'm Tejasram, an aspiring AI Engineer from India. Welcome to my GitHub!
- I'm currently learning Vector Databases, REST APIs and CUDA Computing.
- I currently pursue B.Tech in Artificial Intelligence and Datascience, and work as an NLP Engineering Intern at Augrade.
- How to reach me: Email - tejasram03@gmail.com; Linkedin - linkedin.com/in/tejasramb/
- Python and C
- HTML and Javascript
- SQL
- Numpy, Pandas and Matplotlib
- Hadoop
- Weka
- Computer Vision
- Natural Language Processing\
- Generative Adversarial Networks
- Pytorch, Tensorflow and Scikit-Learn
- Langchain, LlamaIndex and Huggingface
- Django and React.js
A machine learning model that predicts how likely the current location on the map is to being a crime-zone, deployed with a map in the front end.
A project that aims to predict customer churn based on historical customer data. The goal is to develop a machine learning model that can identify customers who are likely to churn so that appropriate retention strategies can be implemented.
A tool that helps to estimate the efficiency of electrical consumption on a household based on the consumption of each appliance along with an estimated electricity bill.
A CNN and LSTM based model developed using Pytorch to generate descriptive prompts from images, inverting the Stable Diffusion Image generation approach.
A project that's aimed to solve rental finding problems. Habitat Hive uses a Habitability Index which ranks properties based on the living well-being around the property.
- 🌐 Live Demo
- 📁 Repository
Did you know In 1997, IBM's Deep Blue made history by defeating the reigning world chess champion, Garry Kasparov, in a six-game match. It was a groundbreaking moment as it marked the first time a reigning world champion lost a match to a computer under standard chess tournament time controls. Deep Blue's victory showcased the rapid progress of AI in mastering complex strategic games like chess?