Build the AI models for ICAR for use in their application for detecting the diseases as well as pests in the crops. The models encompass use of image classification as well as object detection

AI-based completely automated trading based which utilizes Fuzzy Logic, Machine learning (artificial neural networks) and NLP to make a decision when to take a position on a particular crypto-currency and when to liquidate the same. On the economic front, it utilizes Econometrics and momentum analysis. The machine is in a position to detect an imminent impact from a particular NEWS or action and take actions accordingly and be profitable

This work was taken in collaboration with Forest Research Institute and Machine learning based model was trained to recognize various species of trees in Mussorie land area.

In this project a trading strategy for UK-Oil futures was developed. The strategy was designed to expolit DOJI characters over the 1m live candle data.

This is the decentralized crypto exchange, which provides a unique value proposition to the crypto markets. As the case in cryptos is this that people have numerous accounts on different exchanges. This results in a login requirement on multiple exchanges and is thus a tedious process. This portal also provides them with the capacity to follow veteran traders and copy their moves without any Manuel intervention

Developed a recommendation system for a novice trader. This system generates buy and sell signals which can be utilized by a novice trader to trade. The system uses technical analysis coupled with fuzzy logic to generate these signals. Hence, a novice trader needs not to know technical analysis and can directly utilize the system values to trade. The system also utilizes the impact of global stock indices over the SENSEX which incorporated the use of Artificial Neural Networks. The model has been licensed to Primetrade.ai for use over crypto markets.

We did a data analytics for a leading client in Fashion Industry for launch of their home decor segment. Recommendations were based upon the data and included segments like supply chain management, inventory and sales forecastr.