Siddharth Panditrao

MLE-STAR-Open. Unofficial, Google‑free reimplementation of MLE‑STAR: a lightweight, local‑friendly multi‑agent ML engineering pipeline that uses OpenAI‑compatible LLMs (OpenRouter/Ollama) and DuckDuckGo search to generate, debug, refine, ensemble, and submit Kaggle‑ready solutions—AutoML for tabular tasks with code generation and iterative refinement.

CICIDS-2017. Jupyter notebooks for analyzing the CICIDS 2017 dataset, to download data, EDA, and training various classification models and deep learning architectures.

ChessAI_MLProj. This project is designed to provide a comprehensive framework for training machine learning models using both TensorFlow and PyTorch, alongside a robust chess engine that utilizes the Minimax algorithm with Alpha-Beta pruning for optimal decision-making.

AlphaZero. Implementing AlphaZero in Board Games

Sign-Language-Gesture-Translation. This project implements a system for continuous Indian Sign Language (ISL) translation and recognition using PyTorch

Research-Paper-Implementations. Implementing Research Papers

Snake-AI. This repository contains a snake game AI implemented using pathfinding algorithms, inspired by Code Bullet's "Snake AI which always wins (sometimes)" video. The AI explores maze-solving techniques to navigate the snake, find food, and avoid obstacles.

Object-Counting-and-Tracking. This project demonstrates a solution for defect counting and tracking using YOLOv8, Supervision, and ByteTrack—accurately detecting dents and scratches in video footage.

Russian-Roulette. This Python script invites you into a world where your luck is put to the test. Guess a number between 1 and 10, and if you're right, you win! If you're wrong, well... let's just say the consequences are a bit extreme.

Automated-Report-Generator. Project for R.K.Tailor

Chess_Bot. This Python application provides a graphical user interface (GUI) to interact with chess.com, extract game information, and get move suggestions from an external UCI-compliant chess engine. It's designed as a tool for analysis and experimentation.

Amazon-ML-Challenge-2024. A comprehensive pipeline for extracting product attributes from images using OCR and deep learning. This system combines PaddleOCR for text extraction, BERT for text encoding, and a fine-tuned BART model for attribute prediction.

AiInternTask. PDF Processing Pipeline for Wassestoff (AiInternTask) that processes PDF documents to generate summaries and keywords, storing results in MongoDB.

Talking-Tom-Runner. Python Plays Talking Tom Gold Run

PDF-QA-Chatbot. ASG - PDF QA Chatbot: This project is a PDF-based Question and Answer (QA) chatbot application, designed to take user queries on a given document and return relevant answers using IBM Watsonx and LangChain.

Report-Generation. Simple Report Generation based on a template

Human-Benchmark. Imma destroy all record on humanbenchmark.com with the help of friendship (python)

Sentient-Analysis-of-Indian-Colleges. This project scrapes comments potentially related to specific Indian colleges from Reddit (for now) using PRAW, preprocesses the text, performs sentiment analysis using VADER and aspect keyword matching, generates summary statistics and trends, and visualizes the results.

Vision-Transformer-Implementation. Implementation of the Vision Transformer (ViT) architecture as described in the paper "An Image is Worth 16×16 Words: Transformers for Image Recognition at Scale" (ICLR 2021).

Perlin-Mouse-Simulator. A Python application that simulates human mouse movement using Perlin noise, featuring a Tkinter GUI for real-time visualization and parameter control

Sudoku-Solver. Python

GPT2-LLM. Jupyter Notebook

Depth-Map-Generator. Jupyter Notebook

CNN-OCR. Jupyter Notebook

Equirectangular-to-Cubemap-Conversion. This script converts equirectangular images to cubemap faces and saves them with optional GPS data. It processes all images in a specified directory and allows you to selectively save different cubemap faces.