Hi, I'm Padmakanth Reddy Kolanu

An aspiring Artificial Intelligence Engineer passionate about developing intelligent systems and extracting insights from data.

About Me

I'm Padmakanth Reddy Kolanu, a final-year B.Tech student in Artificial Intelligence at Mahindra University, Hyderabad, set to graduate in 2026. My academic journey has fueled a profound interest in Machine Learning, Natural Language Processing, and Data Analysis, where I actively apply theoretical knowledge to practical challenges.

My objective is to obtain a challenging position where I can leverage my knowledge of previous experiences and programming languages such as Python, Java to assist in the development and implementation of ML models, Databases and to gain hands-on experience in data collection, preprocessing, and analysis. I'm a dedicated problem-solver, eager to contribute to innovative projects and expand my expertise in cutting-edge AI technologies.

Through various projects, including Emotion Detection in Text and Drug Discovery using Digital Image Processing, I have gained practical experience in applying deep learning models, NLP concepts, and image processing techniques to real-world problems. I'm excited to embark on my professional journey and contribute to impactful technological advancements.

My Toolkit & Strengths

Programming Languages

  • Python
  • Java
  • C++
  • SQL
  • JavaScript
  • HTML
  • CSS

AI & ML Libraries

  • Numpy
  • Pandas
  • Scikit-learn
  • TensorFlow
  • NLTK
  • Matplotlib
  • Tkinter

Databases & Tools

  • Oracle
  • MySQL
  • Google Colab
  • Jupyter
  • EXCEL
  • Tableau

OS & Web Technologies

  • Windows
  • Unix
  • Linux
  • HTML
  • CSS
  • JavaScript

My Key Projects

Emotion Detection in Text Using NLP

[AI | NLP | Deep Learning]

Developed an AI-powered system for detecting emotions in text using NLP techniques. Utilized deep learning models, to classify emotions and analyze sentiment. Preprocessed text data, extracted features, and trained models to accurately identify emotional tones in textual inputs.

Drug Discovery Using Digital Image Processing

[Digital Image Processing | ML/DL | Web Development]

Developed a drug detection model using Digital Image Processing (DIP) with Django and HTML. Implemented image preprocessing techniques to enhance features and applied machine learning or deep learning models for drug identification. Integrated the system into a web-based platform for efficient detection and analysis.

Prescription Reading & Alternate Medicine Prediction (OCR)

[OCR | NLP | Python | Google Cloud]

Developed a Python-based application to assist medical store staff in digitizing prescriptions and identifying substitute medicines. The system uses Tesseract OCR to extract medicine names from handwritten or printed prescriptions. It applies NLP concepts, such as TP-IDF Vectorization with cosine similarity, to compare them with a medicine database and suggest possible alternatives. It also includes a user-friendly interface built with Tkinter and it is integrated with Google Cloud.

Clinical Report generation and disease diagnosis from Medical images using LLM/Diffusion Models

[Category: Another Domain]

Brief description of your fourth project, its technologies, and your role/learnings.

My Education & Academic Journey

B. Tech in Artificial Intelligence

August 2022 – Expected Graduation 2026

Mahindra University, Hyderabad, India

  • Focus Areas: Machine Learning, Deep Learning, Natural Language Processing, Data Structures & Algorithms, Database Management.
  • Key Learnings: Strong foundation in AI principles, model development lifecycle, data preprocessing and analysis techniques.

Let's Connect

Or connect with me directly:

Email: kpkreddy2004@gmail.com
Mobile: +91 9550531919