This AI fact-checking system, built with LangGraph, dissects text into verifiable claims, cross-referencing them with real-world evidence via web searches. It then generates detailed accuracy reports, ideal for combating misinformation in LLM outputs, news, or any text.

chromaVive turns grayscale images into vibrant, colorized versions using advanced deep learning inspired by Richard Zhang's research at UC Berkeley. Powered by models from the ECCV16 and SIGGRAPH17 papers, chromaVive advances the art of image colorization.

This is a Research Paper implementation of Levi-Hessaner Age-Gender Classification model which has re-implemented and trained on Indian faces.

Data structures & algorithms project for implementing the Hilbert R Tree data structure as present in the original research paper, focusing on the adding of elements and searching of elements along with a pre-order traversal of the tree.

AI-Generated Project: enhanced_cs.LG_2507.22859v1_Mesh_based_segmentation_for_automated_margin_line_ - Created by WATCHDOG Multi-Agent System

QueensGambit is a Python-based chess engine using the Minimax algorithm with alpha-beta pruning to make optimal moves. It incorporates piece values inspired by AlphaZero and an entropy-based evaluation for dynamic gameplay. The engine supports both human-AI and AI-AI matches.

AI-Generated Project: enhanced_cs.LG_2507.22857v1_Synchronization_of_mean_field_models_on_the_circle - Created by WATCHDOG Multi-Agent System

AI-Generated Project: enhanced_cs.RO_2507.22546v1_Explainable_Deep_Anomaly_Detection_with_Sequential - Created by WATCHDOG Multi-Agent System

AI-Generated Project: enhanced_cs.RO_2507.22522v1_Recognizing_Actions_from_Robotic_View_for_Natural_ - Created by WATCHDOG Multi-Agent System

AI-Generated Project: Interpretable Renal Health Decline Forecasting - Created by WATCHDOG Multi-Agent System

AI-Generated Project: enhanced_cs.AI_2507.22853v1_Repair_R1_Better_Test_Before_Repair - Created by WATCHDOG Multi-Agent System

AI-Generated Project: enhanced_cs.SY_2507.22766v1_Bayesian_Optimization_of_Process_Parameters_of_a_S - Created by WATCHDOG Multi-Agent System

AI-Generated Project: enhanced_stat.ML_2507.22632v1_A_Unified_Analysis_of_Generalization_and_Sample_Co - Created by WATCHDOG Multi-Agent System

AI-Generated Project: CP_Solver_Multi_Agent_Path_Finding - Created by WATCHDOG Multi-Agent System

AI-Generated Project: enhanced_cs.NE_2507.22440v1_Nearest_Better_Network_for_Visualizing_and_Analyzi - Created by WATCHDOG Multi-Agent System

AI-Generated Project: enhanced_cs.HC_2507.22665v1_Cluster_Based_Random_Forest_Visualization_and_Inte - Created by WATCHDOG Multi-Agent System

AI-Generated Project: enhanced_cs.HC_2507.22671v1_Designing_for_Self_Regulation_in_Informal_Programm - Created by WATCHDOG Multi-Agent System

End-to-End Python implementation of CompactPrompt (Choi et al., 2025): a unified pipeline for LLM prompt and data compression. Features modular compression pipeline with dependency-driven phrase pruning, reversible n-gram encoding, K-means quantization, and embedding-based exemplar selection. Achieves 2-4x token reduction while preserving accuracy.

End-to-End Python implementation of Semantic Divergence Metrics (SDM) for LLM hallucination detection. Uses ensemble paraphrasing, joint embedding clustering, and information-theoretic measures (JSD, KL divergence, Wasserstein distance) to quantify prompt-response semantic consistency. Based on Halperin (2025).

AI-Generated Project: enhanced_cs.CV_2507.22828v1_CapRecover_A_Cross_Modality_Feature_Inversion_Att - Created by WATCHDOG Multi-Agent System