All Categories
All Categories
Web Development
Deep Learning (Vision)
Deep Learning (Text)
Generative AI
Natural Language Processing
Robotics & Simulation
Reinforcement Learning
English to Hindi Translation (Seq2Seq LSTM)

English → Hindi Translation

From 'Hello' to 'नमस्ते' in milliseconds — this sequence-to-sequence with LSTM translation engine bridges English and Hindi with speed and precision.

Harro Robot Pose Detection with ROS2

Harro Robot - Pose Detection

Meet Harro: a Blender-designed robot performs real-time human pose estimation in a ROS2 Gazebo simulation environment. Bringing robotics and AI together.

Image Localization and Classification

Image Localization and Classification

Imagine a model that not only identifies but also pinpoints the location of everyday objects like an AC, fan, or stove! This powerful localization model offers precise object detection, enhancing everyday applications with advanced capabilities.

Image Captioning

Image Captioning

Explore a model that generates descriptive captions for images, bridging the gap between visual content and natural language. This project demonstrates how AI can understand and describe the content of an image.

MNIST Generator

MNIST Digit Generator (GAN)

My project features a cutting-edge Generative Adversarial Network (GAN) that generates realistic handwritten digits ranging from 0 to 9. Trained on the widely-used MNIST dataset.

Pose Estimation

Pose Estimation using MediaPipe

The app developed using MediaPipe library to estimate the pose of a human in real-time. Post estimation can be used with webcam for various applications like augmented reality, fitness, and gaming.

Emotion Detection

Emotion Detection using CNN

I developed a categorical classification model using my own CNN architecture to detect different emotions of humans. The model was trained on FER dataset from Kaggle.

Categorical Classification

Food CNN Classification

A CNN model trained on a diverse dataset of labeled food images (pizza, burger, samosa, ice cream, sushi) to classify different food types with high accuracy.

MNIST Classification

MNIST Classification

A CNN model designed to recognize handwritten digits (0–9) with remarkable accuracy using the classic MNIST dataset.

Binary Classification

Bird Binary Classification

A binary CNN classifier to distinguish between parrots and sparrows. Trained on a labeled dataset, achieving strong performance.

IMDB Sentiment Analysis

IMDB Sentiment Analysis

An NLP model trained on the IMDB dataset to classify movie reviews as positive or negative. Highly accurate on unseen reviews.

Email / SMS Spam Classifier

Email / SMS Spam Classifier

AI-based spam detection system for classifying messages as spam or legitimate. Features a Streamlit web app for real-time checks.