Name: Lokesh Sinha
Type: User
Company: Hoshi!
Bio: Aspirant towards AI.
Computer Science Student, JNTUK-UCEN.
Learner, Believer, Dreamer.
Location: Narasaraopet, Guntur
Blog: https://my-portfolio-webpage.onrender.com/
Lokesh Sinha's Projects
Building a RAG pipeline for a set of most Frequently Asked Questions(FAQ's), enhancing the abilities of LLM's providing most accurate and relevant answers , to which the LLM are not trained.
Developed a WhatsApp chat predictor project involving training a deep learning model is an interesting and challenging endeavor that showcasing my skills in Deep Learning.
A Generative AI project, which prioritize the RAG pipeline, adapting the Google's gemini-1.5-flash model, which enables the Q&A with the custom knowledge provided. Entitled with web application view with customized authentication and message retrieval option.
A Data Analysis on electric vehicle market segmentation on different parts of India, using python frameworks for data visualization and analysis
Python Flask review web app that sends data to Postgres database and acknowledment emails to the customer
This GitHub Repo contains the executable tasks of Forage BCG GenAI job simulation, showcasing talents in Python programming, NLP and Data Extraction skills.
Code execution in python for McDonalds Case study of food
My portfolio webpage which is purely built on using Python Module, Streamlit. Usage of HTML and CSS helped me to achieve this output.
profit estimation of companies with linear regression
performing sentiment analysis on reviews of Apple mobile collecting info from website using the BERT model.
A simple execution of web development to a ML model using Linear regression algorithm on Sales Prediction Dataset.
This repo consists of our major project which we have done in our Final year of B.Tech , where we have leverage the application of sentiment analysis using BERT model and we have adapted the streamlit for the web application implementation. Here you can access the complete code please free to contact for any further updations in the work.
Example Streamlit app that you can fork to test out share.streamlit.io
A Minor Project , which I have worked on a classsification Project aimed at predicting whether customers of a bank would subscribe to a term deposit using Data science skills.
This repo includes code of an app which can summarize text which is passed in the form of paragraph using T5_transformer and also passed the link of the text using newspaper module
Showcasing ML algorithms on different climatic conditions to predict the Weather, Extended to a web page using Flask application
This project is a Flask API that fetches weather data from OpenWeatherMap and displays it on a web page with a dynamic background video that changes according to the weather condition.