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Machine Learning And Artificial Intelligence

Smart information extraction

Aim of the project

To extract useful information from multiple sources using pre-defined KPIs for a financial institution

Highlights

  • Efficiently fetch various relevant documents using web crawl and spider search
  • Effectively scan the relevant documents for the required KPIs using combination of OCR and NLP
  • Present the information in an easily malleable format

Document similarity

Aim of the project

To identify similar documents from a dataset given a text or reference document

Highlights

  • Developed word embeddings specific to the target industry
  • Used NLP techniques to rank the most similar documents from the
    search corpus

Facial recognition system for missing people

Aim of the project

To help Nagpur Police track and identify the missing persons

Highlights

  • Used deep learning based facial recognition technology
  • Providing on-location air-gapped system considering the security and sensitivity of the project

Digital reputation management

Aim of the project

To understand sentiment of the customers towards a brand (hospital, hotel etc.) and its services. This will help the company to do course correction and improve its reputation.

Highlights

  • We proposed to crawl and collect the reviews from various relevant sources for the client.
  • Reviews would then be normalized and analyzed using different NLP algorithms for sentiments.
  • The most actionable items will be automatically flagged by the algorithm and an alert would be sent to the client for further action.

Dash-boarding and advanced analytics for a mine

Aim of the project

Digitize and automate the information coming from various IoT sensors installed in a mine.

Apply advanced analytics to make optimizations and predictive suggestions

Highlights

  • Data is captured in real-time from various sensors deployed at different locations in the mine
  • The data is stored locally and smart dash-boarding is done for easy visualization
  • Advanced analytics and ML tools are applied to measure the KPIs and also to detect and flag anomalies

Intelligent calorie counter with automatic food detection

Aim of the project

To aid diabetic patients in keeping track of their calorie intake

To help doctors/ dieticians to better understand food habits of their patients and in turn suggest better medical care

Highlights

  • We proposed to develop an app that will automatically detect the food based on the photo of the dish as an input using deep learning algorithms and provide calorific value
  • Developing the food database for Indian cuisine and designing a hybrid system

Digitization Of Mapping Workflow Using AI & ML

Aim of the project

The aim of the project was to extract information from documents and draw relevant maps using QGIS.

Highlights

  • Used OCR to extract data from scanned PDF documents
  • Used NLP model to extract relevant information from the data and show it in a structured tabular format
  • Feed the structured data to the GIS software and draw the map
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