About Me

I am an undergraduate student with a profound passion for pursuing a degree in Artificial Intelligence (AI). My journey in AI is driven by an insatiable curiosity to explore the boundless frontiers of machine learning, neural networks, and data analysis. I find immense excitement in the prospect of diving deep into these transformative domains of technology.
As an AI enthusiast, I am excited to embark on a journey that will not only equip me with technical expertise but also empower me to make a positive impact on society. I eagerly anticipate the challenges and opportunities that lie ahead, as I continue to push the boundaries of what AI can achieve.

Skills

Education

Certifications

  • Languages
    Python, Java
  • Machine Learning and AI Frameworks
    TensorFlow, OpenCV, Scikit-Learn
  • Data Manipulation and Databases
    SQL, NoSQL
  • 2021 - 2025
    B. Tech. in Computer Science and Engineering (Artificial Intelligence) from
    Amrita Vishwa Vidyapeetham, Coimbatore
  • 2019 - 2021
    AISSCE from
    Maharishi Vidya Mandir, Coimbatore
  • Completed
    Neural Networks and Deep Learning from
    DeepLearning.AI
  • Introduction to Artificial Intelligence,
    Introduction to Natural Language Processing,
    Introduction to Deep Learning from
    Infosys
  • Ongoing
    Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization
    from DeepLearning.AI

My Projects

PowerBot

A chatbot based on OpenAI api, Steamlit and steamlit_chat which focuses mainly on Energy Conservation.

Ros2 humble Autonomous Parking System using Turtlebot3 Waffle

The system utilizes ROS2 as the framework for communication and coordination between various components, enabling a robust and efficient solution for automated parking.

Raspberry pi 3 Based Line Follower Robot

The Line Follower Robot project utilizes Raspberry Pi 3 and L298N motor driver for creating an autonomous robot capable of following a line on a track.

Music Recommendation Using Q-Learning And Deep Reinforcement Learning

This project compares two methodologies for music recommendation: Q-learning and Deep Reinforcement Learning (Dueling DQN). The goal is to build a system that recommends music based on user preferences.

Human Pose estimation Using CNN and Keypoint R-CNN

This project focuses on human pose estimation using deep convolutional neural networks and key point R-CNN.

Automated Prediction of Item Difficulty and Item Response Time

Accurately predicting item difficulty and response time is crucial for developing effective and personalized educational assessments. We base this on the BEA 2024 Shared Task.

More Projects

Contact Me

bharishbalaji@gmail.com

+91 7358933080

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