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AbhishekPandey91/README.md

Hi there πŸ‘‹, I'm Abhishek Pandey

Passionate Tech Enthusiast | AI & ML Engineer

Welcome to my GitHub! I'm dedicated to pushing the boundaries of Machine Learning, Deep Learning, and Audio Processing through innovative projects and real-world applications.


πŸ”­ Current Projects

πŸ”’ FineSecure - Financial Fraud Detection & Cybersecurity System
Advanced ML-powered cybersecurity solution for fraud detection, analyzing 6.3 million financial transactions using Logistic Regression and Random Forest classifiers. Identifies fraudulent patterns and security threats in mobile money platforms across CASH-IN, CASH-OUT, DEBIT, PAYMENT, and TRANSFER transaction types with high precision to combat payment fraud and protect financial ecosystems.

🎀 EchoRobber
Developing a real-time emotional state detection system from voice recordings using cutting-edge deep learning architectures.

🧠 Advanced Emotion Recognition Models
Building high-accuracy audio processing systems with CNNs, spectrogram analysis, and hybrid neural architectures.

🌐 AI-Powered Web Applications
Creating interactive ML applications using Streamlit, featuring chat analyzers and intelligent calculators with predictive capabilities.

πŸ•³οΈ Pothole Detection System - Carnival Vision Challenge
YOLOv11-based real-time pothole detection system developed for the Carnival Vision Challenge competition on Kaggle, organized by Computer Coding Club MNNIT. Features interactive Streamlit web application with configurable detection parameters, test-time augmentation, and comprehensive visualization of detected road damage.

πŸ€– MCP Servers Collection with Agent
Comprehensive Model Context Protocol (MCP) implementation featuring 9 specialized servers orchestrated by a LangGraph ReAct agent. Integrates Weather API, Gmail, Google Workspace (Drive & Calendar), GitHub, SQLite, OpenStreetMap, mathematical computation, web search, and robotics club management through unified LLM-powered interface using Groq's Llama 3.1 8B Instant model.


🀝 Collaboration Interests

  • Machine Learning & Deep Learning - Specializing in audio processing, NLP, and real-time inference systems
  • Open Source Contributions - Active contributor to TensorFlow, PyTorch, and Streamlit ecosystems
  • Real-Time Audio Analysis - Expert in emotion detection, noise reduction, and speech enhancement systems
  • Computer Vision & Object Detection - YOLO architectures, real-time detection systems
  • Financial Technology & Fraud Detection - ML-powered security solutions for fintech
  • Agent-Based Systems - LangChain, LangGraph, and MCP implementations

🌱 Currently Learning

  • πŸ—οΈ Advanced Architectures - Transformers, BERT, GANs, and LSTM variations
  • 🎡 Audio Processing Mastery - Librosa, SpeechRecognition, MFCC, and tonality extraction
  • πŸš€ MLOps & Deployment - Production-ready ML model deployment strategies
  • πŸ‘οΈ Computer Vision - Integrating CV techniques with ML for comprehensive solutions
  • πŸ”— Agent Orchestration - Model Context Protocol and multi-agent systems

πŸ’¬ Ask Me About

  • 🐍 Python Programming - Core programming, OOP, and advanced data structures
  • 🧠 Deep Learning Frameworks - TensorFlow/Keras and PyTorch implementation
  • 🎀 Audio Processing & Emotion Recognition - Signal analysis and feature extraction
  • πŸ“Š Data Analysis & Visualization - Pandas, NumPy, Matplotlib, and feature engineering
  • ⚑ ML Application Development - Streamlit apps and real-time prediction systems
  • πŸ” Object Detection - YOLO architectures and real-time computer vision
  • πŸ”’ Fraud Detection Systems - ML-powered financial security solutions
  • πŸ€– AI Agents - LangChain, LangGraph, and MCP server implementations

🌐 Connect With Me

LinkedIn Email GitHub


πŸ’» Tech Stack

Languages & Frameworks

Python C++ CUDA

Machine Learning & Deep Learning

TensorFlow PyTorch Keras scikit-learn

ML Algorithms Expertise:

  • Supervised Learning: Linear Regression, Logistic Regression, Decision Tree, Support Vector Machine, Regression Tree
  • Unsupervised Learning: K-Means Clustering, Hierarchical Clustering, DBSCAN, Gaussian Mixture Model
  • Deep Learning: CNN, RNN, LSTM, BiLSTM, GRU, Transformers, GANs
  • Computer Vision: YOLO (v8, v11), Object Detection, Image Classification

Data Analysis & Visualization

NumPy Pandas Matplotlib Plotly

Cloud & Deployment

Vercel Render Streamlit


🎯 Expertise Areas

Machine Learning & Deep Learning Audio Processing Real-time Systems Computer Vision
CNN, RNN, GRU, LSTM Speech Emotion Recognition Live Audio Analysis YOLO Object Detection
BiLSTM, ANN, Transformers Signal Processing Real-time Inference Image Classification
BERT, GANs Feature Extraction Production Deployment Video Analysis
Fraud Detection MFCC, Spectrogram Agent Orchestration Pothole Detection

πŸ“ˆ GitHub Statistics

GitHub Stats GitHub Streak Top Languages

πŸ† Achievements

GitHub Trophies


πŸ’­ Philosophy

"Coding is my superpower; AI is my playground."

Dev Quote


🎯 Areas Seeking Collaboration

  • Scaling Deep Learning Models for production environments
  • Advanced Audio Signal Processing techniques and optimization
  • Open Source ML/AI Projects with meaningful impact
  • Real-time Processing Systems for audio and multimedia applications
  • Computer Vision Applications with YOLO and real-time detection
  • Financial Security Systems and fraud detection algorithms
  • Agent-Based AI Systems using LangChain and MCP

πŸš€ Let's Build the Future of AI Together!

Open to collaborations β€’ Available for consulting β€’ Passionate about innovation

Popular repositories Loading

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    This is the web app for Sentiment-Analysis of audio . This project is based on the theme of 'Money Heist' . It will detect emotion of the Professor and this makes the Professor's Team would got rea…

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  5. color-palette-generator color-palette-generator Public

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  6. RNNs RNNs Public

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