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themakkonen/README.md

Hola , I'm Rollakanti Harshith Reddy 👋

🎓 AI/ML Enthusiast | 🤖 Full Stack Web Developer


🚀 About Me

  • Passionate about building intelligent solutions to solve real-world challenges
  • Exploring Machine Learning, Deep Learning, and Natural Language Processing
  • Interested in Fraud Detection, Predictive Analytics, and Automation Systems
  • Currently an AI/ML Intern gaining hands-on experience with model development and optimization

🛠️ Skills & Tools

  • Programming: Python, Java
  • ML/DL Frameworks: TensorFlow, PyTorch, Scikit-learn
  • Data Science: Pandas, NumPy, Matplotlib
  • Web & Apps: Flask, Streamlit
  • Other Interests: AI-powered applications

🌟 Highlights

  • Worked on projects in fraud detection, NLP-based QA systems, spam detection, and predictive modeling
  • Developed and deployed ML models with real-time applications
  • Strong interest in research and innovation to apply AI in practical domains

📫 Connect With Me


⭐️ Feel free to explore my repositories and connect with me for collaboration!

Popular repositories Loading

  1. UPI-Fraud-Detection-Using-Deep-Learning UPI-Fraud-Detection-Using-Deep-Learning Public

    Real-time UPI fraud detection using LSTM for sequence analysis and Autoencoders for anomaly detection through reconstruction errors.

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  2. Event-Management-System-AI-explore Event-Management-System-AI-explore Public

    This application is just basic. Still it is under development. And Accurate AI model is under deployment, That can react to every query within the application.

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  3. Question-Answering-System-Using-DistilBERT-NQ- Question-Answering-System-Using-DistilBERT-NQ- Public

    A Question Answering (QA) system built on a pre-trained BERT model to generate accurate, context-aware responses. By encoding both questions and context with BERT embeddings, the system identifies …

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  4. Credit-Card-Fraud-Detection Credit-Card-Fraud-Detection Public

    A real-time fraud detection system that identifies suspicious credit card transactions using machine learning. The web application analyzes transaction patterns and provides instant risk assessment…

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  5. Spam-detection Spam-detection Public

    This is a simple and interactive web application that detects whether a given message is spam or not using a machine learning model. It uses sentence embeddings (SimCSE) and a trained classifier to…

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  6. House-Price-Predictor House-Price-Predictor Public

    This is a simple and interactive House Price Prediction web app built with Flask and Linear Regression. Users can input square footage, number of bedrooms, and bathrooms to get an instant house pri…

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