Jenil Jani

Detail-oriented Talent Intern specializing in talent acquisition and management, known for fostering strong relationships and streamlining onboarding processes. Achieved notable improvements in operational efficiency through strategic planning and innovative process enhancements. Proficient in utilizing HR software for effective candidate tracking and record management, committed to contributing to a dynamic HR team.

SSIP Hackathon (Final Round), Ganpat University, 2023, The 'SSIP Hackathon Final Round' as it showcases the real world problems by building and deploying the keyword extractor using NLP.

End to End Laptop Price Prediction

https://github.com/jeniljani-4444/End-to-End-Laptop-Price-Prediction

• I made a laptop price prediction system by scraping Flipkart laptop data constructing a machine learning model and transforming it into a Streamlit web app.
• This project highlights my skills in data acquisition, machine learning and exploratory data analysis offering a practical solution for accurate price predictions., Achieved an 86% accuracy on the testing data., Improved the model's accuracy by an additional 3% through hyperparameter tuning techniques.

Q&A Chatbot using Langchain Framework

https://github.com/jeniljani-4444/Q-A-Chatbot-Using-Langchain 

• Q&A chatbot leveraging Streamlit for UI, python-dotenv for secure config, langchain for language processing, and OpenAI for advanced NLP.
• The creation of chatbot stems from a commitment to revolutionize user interactions by seamlessly integrating cutting-edge technologies.

Calories Advisor App using Google Gemini 

https://github.com/jeniljani-4444/Calories-Advisor-App-using-Google-Gemini 

• Revolutionizing nutrition tracking our app combines Google Gemini Pro, generative AI, and Streamlit UI.
• Upload a food image and let the app analyze and reveal its calorie content and health status. Transforming image recognition into actionable nutritional insights for a healthier lifestyle.

Python for Machine Learning and Data Science Masterclass, Udemy, 2022, Data-Preprocessing, Machine Learning, Exploratory Data Analysis