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Blaze786n/README.md

👋 Hi there! I'm Nihal Reddy

I’m a trained computer scientist passionate about Python, Data Science, and Deep Learning. I enjoy building AI systems that solve real-world problems, from intelligent assistants to efficient data pipelines.

🚀 Current Projects

  • 🔭 AI-powered Route Optimization – Designing a smart itinerary planner to reduce travel time for sales executives using ML & geospatial data.
  • 🖼️ Improved Autoencoder for Image Transmission – Built a custom autoencoder with perceptual loss & entropy coding achieving 11% higher SSIM and 40% improved compression.

🤝 Looking to Collaborate

I'm open to collaborating on:

  • Machine Learning & NLP projects
  • Deep Learning model optimization
  • Open-source AI tools or social good applications

📫 How to Reach Me

Thanks for stopping by! Feel free to check out my pinned repositories below 👇

Popular repositories Loading

  1. Nightlights-and-VIRS Nightlights-and-VIRS Public template

    Based on the integrated analysis and modeling: Areas predicted to undergo development showed strong correlation with recent government initiatives (e.g., road construction, electrification) Estimat…

    Python 1

  2. Autoencoders-with-perceptual-loss-training Autoencoders-with-perceptual-loss-training Public

    Designed a deep learning-based image transmission framework using autoencoders with perceptual loss, attention modules, and entropy coding. Achieved 11% higher SSIM (0.91) and 35–40% better compres…

    Python 1

  3. Autoencoders Autoencoders Public

    Using only a single type of technique to improve the model,experiment them to know more about the outcome

    Jupyter Notebook 1

  4. Resume-Manager Resume-Manager Public

    Resume Manager is a web-based platform that allows students to create, view, and edit their professional profiles. Agencies or recruiters can access a read-only version of the student's profile, en…

    HTML 1

  5. Analysis-of-Construction-data Analysis-of-Construction-data Public

    Exploratary Data Analysis for finding the reason for Repeat Customers,done predictive analysis increasing productivity by 12% and profits by 30%

    Jupyter Notebook

  6. EDA-for-wine-breast-cancer-and-iris-using-knn EDA-for-wine-breast-cancer-and-iris-using-knn Public

    Exploratory Data Analysis (EDA) and classification using the k-Nearest Neighbors (k-NN) algorithm on three classic machine learning datasets: Wine, Breast Cancer, and Iris. The project involves vis…

    Python