Ongoing Projects

Crop price forecasting

End-to-end AutoML based, price forecasting framework. All the tools and technologies used in this project are Open source.

Deployment link -

Source code -


HatchMap -

Hatchmap is designed to help the local retailers predict the future trends which will help them with their inventory management optimising overall revenue. The model uses the strength of sentiments in order to predict sales. This model is using linear regression and sentiment analysis. The data is collected from Twitter (open APIs) abiding privacy policies.

Future Scope

  • Given any product, we will fetch the required data from various websites and social media platforms.

  • Add the retailers/business previous sales and other parameters (if applicable) that affect the sales.

  • The model would predict the upcoming sales even with the varying parameters and capable to recognise data drifts.

  • This will help the retailer/business in procuring the right inventory for products that would create a significant impact on the business.


eaze4U -

According to the market research undertaken by trusted public and private financial institutions, only 5.5% of the entire population are using digital banking services. Our elders often face a huge challenge to understand the digital banking services and often have to ask for support. At eaze4U we aim to present just the right content and aptly what you want to know. All bundled in an elegant design card (in progress).

Understanding the state of microfinance and penetration of technology in banking sector for India

The outcome of the analysis revealed that the literacy rate (irrespective of social-economic status )of a given state in India has a significant impact on the utility of technology and availing microfinance.

Analysis of prep time Vs Diet preference of Indian food

Kaggle notebook -

India is a wonderful diverse country, the food from various regions of India unites us. The analysis of the state/region -wise cooking practices, the kind of ingredients used could potentially help the farmers/industries to produce the right quantity of raw material and plan it's distribution.

Research Work

Terrain Smart Safety System with Data Hub Establishment

DOI (Link to the Springer publication)

The proposed terrain smart safety system using radio-frequency identification (RFID) aims to avoid the problems faced during traversing of treacherous mountain roads which generally consists of hairpin turns and steep edges. The RFID technique is used to detect and report the status of vehicles at every turn. The complete system provides an efficient way to identify the mishaps happening on mountain roads. The number of vehicles and its location can be monitored remotely and necessary actions can be initiated if required. Amateur drivers often traverse in such hostile conditions, leading to fatal mishaps. Due to lack of sufficient communication and availability of medical assistance in these locations, most of the accident cases remain anonymous. The deployment of this system aims to decrease the rate of accidents. The identification details of a vehicle and the passengers are recorded. The data can be handed over to the concern authorities in case of any accident or natural calamity.