Open to opportunities

Monal Khatri

@monalkhatri

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Aspiring computer scientist passionate about AI and machine learning.

India

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What I'm looking for

I am seeking a dynamic role in AI or machine learning where I can contribute to innovative projects and grow my skills in a collaborative environment.

I am a dedicated computer science engineering student with a strong academic background and a passion for artificial intelligence and machine learning. Currently pursuing my Bachelor of Engineering at Visvesvaraya Technological University, I have maintained a CGPA of 9.0 while engaging in various projects that showcase my technical skills and innovative thinking.

My projects include developing a Crop & Fertilizer Recommendation System using Python and Flask, where I achieved an impressive accuracy of 99.5% with the Naive Bayes model. Additionally, I created an AI Medical Health Chatbot leveraging Hugging Face NLP models, demonstrating my ability to integrate advanced technologies for practical applications. I thrive in collaborative environments, as evidenced by my participation in a hackathon where my team developed an accessibility tool utilizing real-time object detection.

Experience

Work history, roles, and key accomplishments

AI Medical Health Chatbot

Self Employed

Developed an AI chatbot using Streamlit for user interaction, leveraging pretrained Hugging Face NLP models for natural language understanding. Integrated libraries including Transformers and TensorFlow to provide reliable medical guidance.

Chatbot Streamlit Hugging Face NLP Transformers TensorFlow Natural Language Understanding

Crop & Fertilizer Recommendation System

Self Employed

Developed a web-based machine learning system using Python and Flask to recommend suitable crops and fertilizers based on soil parameters. Implemented and compared various models, achieving up to 99.5% accuracy with Naive Bayes.

Python Flask Machine Learning Naïve Bayes Pandas NumPy scikit learn Data Visualization

Accessibility Support for Disabled Users

KSIT

Created an accessibility tool during a 24-hour hackathon, implementing real-time object detection using the YOLO model for accurate and fast detection. Integrated text-to-speech and speech-to-text features using Google Cloud API.

Object Detection YOLO Google Cloud Text To Speech Computer Vision

Education

Degrees, certifications, and relevant coursework

Visvesvaraya Technological University, AMC Engineering College

Bachelor of Engineering, Computer Science Engineering

Grade: 9.0 CGPA

Currently pursuing a Bachelor of Engineering in Computer Science Engineering. Key coursework includes Artificial Intelligence, Machine Learning, Data Structures & Algorithms, Computer Networks, Cloud Computing, and Web Technologies.