Estimate AOD using Sentinel-2 data, leveraging its spectral bands and spatial resolution to improve accuracy.

Q&A chatbot powered by a Retrieval-Augmented Generation (RAG) approach to provide answers to neural network-related questions.

This will be web version of smoothie order form

Develop a technology for detecting mining sites using images from the optical satellite Sentinel-2. Specifically, it involves classifying images that contain mining sites and those that do not.

Exploring mage hybrid framework

Compute the dot product and cosine similarity between the LLM-generated answers and the actual answers.

Semantic search using elasticsearch and custom search methods with text and vector. Evaluate the search results with ground truth by the metrics recall, mrr.

Data ingestion pipeline using dlt to load data from a REST API into LanceDB.

Open sourced LLMs

Create a machine-learning algorithm that counts the number of grass-thatch, tin and other roofed houses in aerial (drone) imagery.

Develope a robust and high-performance model utilizing computer vision techniques to classify images as either fraudulent or non-fraudulent within the context of insurance claims

Develop a robust and high-performance model for classifying an image of a car into different types of damages.

Crop damage classification

Build a machine model to predict whether the freshwater is safe to drink or not.Based on the measures like pH, TDS, etc.

Generate a response for the question from pre-defined text using LLM(Extracted Question-Answering(QA) Model).

Simulate cricket matches between two teams with this command-line program.

Create a machine learning model to determine the likelihood of a customer defaulting on a loan based on credit history, payment behavior, and account details.

Create a machine learning model to help an insurance company understand which claims are worth rejecting and the claims which should be accepted for reimbursement.

Build a machine learning/deep learning approach to forecast the total energy demand on an hourly basis for the next 3 years based on past trends.

Create a model that can accurately predict whether a user belongs to the HCP(Healthcare Professional) category or not. Based on server logs.

create a model to predict solar energy efficiency based on the measurements of various meteorological parameters over a period of time.

Build machine learning model to predict the character of each image.

Build an object detection model to detect ships in ports using satellite imagery.

Detect the presence of weeds and use targeted remediation techniques to remove them from fields with minimal environmental impact.

Build a model that can predict customers' Long Term Value (LTV).

Build a computer vision-based technology to process and detect the potholes present in an image.

Create a machine learning model to predict if the policyholder will file a claim in the next 6 months or not based on the set of car and policy features.