Abhinav Singh

Flappy-bird

Flappy Bird AI Agent using Deep Q-Network (DQN) and Reinforcement Learning. The agent learns to play Flappy Bird autonomously through experience replay, epsilon-greedy exploration, and target network synchronization using PyTorch and Gymnasium.

Python

DSA-LEETCODE

A structured collection of Data Structures and Algorithms problem solutions, solved consistently on LeetCode as part of daily practice. Organized by problem number and topic for easy navigation, covering arrays, strings, hashing, sorting, searching, and more. Reflects ongoing commitment to strengthening core CS fundamentals.

Python

My-First-Agent-AI

Learning to build AI Agents | Deployed first agent (YouTube Video Analyzer) on Streamlit | Exploring Agno + Groq for building intelligent multi-agent systems

Python

Creditwise_Loan_System

Built an end-to-end supervised ML pipeline using KNN, Logistic Regression and Naive Bayes to predict loan approval. Implemented Binary classification along with EDA, feature engineering & model evaluation (Precision, Recall, F1)

Jupyter Notebook

SnapClass---Smart-Attendance-Ai

An AI-powered attendance management system using face recognition and voice recognition to automate classroom attendance. Built with Python, Streamlit, and Supabase to provide real-time attendance tracking and reporting.

Python

Dog-vs-Cat-Classification-CNN

Dog and Cat Image Classification using Convolutional Neural Networks (CNN) and PyTorch.

Jupyter Notebook