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ked-1823/README.md

Hi πŸ‘‹, I'm Kedar Mane

AI/ML Engineer | Data Science Enthusiast | Computer Vision Developer

Working on AI systems and data-driven applications using Machine Learning, Deep Learning, NLP, and Computer Vision.
Focused on building practical projects, improving deployment skills, and developing production-ready AI solutions.


πŸš€ About Me

  • πŸŽ“ B.Tech IT Student at St. John College of Engineering and Management (Mumbai University)
  • πŸ€– Interested in Machine Learning, NLP, Computer Vision & Data Science
  • 🧠 Building end-to-end AI applications from model training to deployment
  • πŸ“Š Skilled in data preprocessing, visualization, model evaluation, and API development
  • πŸ’‘ Love solving real-world problems with AI-driven solutions
  • πŸ”₯ Solved 250+ LeetCode problems
  • πŸ“ Palghar, Maharashtra, India

πŸ› οΈ Tech Stack

πŸ’» Programming Languages

Python JavaScript SQL


πŸ€– Machine Learning & AI

TensorFlow Keras Scikit-Learn Hugging Face


πŸ‘οΈ Computer Vision

OpenCV


πŸ“Š Data Science & Analytics

Power BI Excel


🌐 Web & Deployment

FastAPI Flask Streamlit


πŸ› οΈ Tools & Platforms

Git GitHub Jupyter Google Colab


πŸ’Ό Experience

Data Science Intern β€” Null Class

  • Developed ML models for:
    • Age Detection
    • Car Color Classification
    • Speech Emotion Recognition
  • Worked on:
    • Data preprocessing
    • Feature extraction
    • Model training & evaluation
  • Used:
    • Python
    • TensorFlow
    • Scikit-learn
    • OpenCV
  • Presented project methodologies, metrics, and real-world applications to mentors

πŸš€ Featured Projects

🧠 LifeScreen Analytics β€” Digital Behavior Intelligence System

  • Built a Random Forest ML model to predict mobile addiction risk
  • Developed an interactive Streamlit dashboard
  • Used Plotly visualizations for real-time insights
  • Implemented a complete end-to-end ML pipeline

πŸš— Vehicle Detection & Car Color Classification System

  • Developed a computer vision system for detecting and classifying car colors
  • Applied image preprocessing using OpenCV
  • Integrated deep learning models for improved prediction reliability

πŸ’¬ Mental Health Emotion Detection using DistilBERT

  • Fine-tuned DistilBERT Transformer for emotion classification
  • Categories:
    • Anxiety
    • Depression
    • Normal
    • Suicidal
  • Built a FastAPI REST API for real-time predictions
  • Used Hugging Face Transformers for tokenization
  • Evaluated using:
    • Accuracy
    • Precision
    • Recall
    • F1-score
  • Deployed using:
    • Render
    • Hugging Face Spaces (Gradio)

πŸ“š Currently Learning

  • Advanced Deep Learning
  • Transformer Architectures
  • MLOps Fundamentals
  • Real-world Computer Vision Systems
  • Production-level AI Deployment

πŸ† Achievements

  • βœ… Solved 250+ LeetCode Problems
  • πŸ”₯ Completed 50 Days Coding Challenge
  • πŸ’‘ Consistently building AI/ML projects with practical applications

πŸ“œ Certifications

  • Machine Learning with Python
  • Data Analysis with Python
  • AI/ML Google Workshop Participant
  • Machine Learning with Python Level 1

🌐 Connect With Me

Portfolio

LinkedIn

GitHub

πŸ“§ Email: manekedar287@gmail.com


πŸ’­ β€œLearning by building. Growing by solving real-world problems.”

Pinned Loading

  1. focus-fuel focus-fuel Public

    CSS

  2. KNN-movie-recommendation KNN-movie-recommendation Public

    Movie Recommendation System using KNN A simple recommender built with the TMDB 5000 Movies dataset. Predicts movies based on user input for genre and popularity using a K-Nearest Neighbors model, w…

    Jupyter Notebook 1

  3. emotion-detection-from-speech emotion-detection-from-speech Public

    Jupyter Notebook 1

  4. car_color_detection car_color_detection Public

    Jupyter Notebook

  5. Senior-Citizen-Detector Senior-Citizen-Detector Public

    Detects age and gender from video streams and logs information of senior citizens (60+) for analytics using OpenCV and a custom CNN model

    Jupyter Notebook

  6. cat-or-dog-identification cat-or-dog-identification Public

    Jupyter Notebook