Monal Khatri
@monalkhatri
Aspiring computer scientist passionate about AI and machine learning.
What I'm looking for
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
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.
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.
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.
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.
St Annes Sr Sec. School
High School Diploma, Science (PCM + CS)
Grade: 87.00 %
Completed senior secondary education with a focus on Science (PCM + CS). Achieved a grade of 87.00%.
St Annes Sr. Sec. School
High School Diploma, CBSE
Grade: 96%
Completed 10th grade CBSE. Achieved a grade of 96%.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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