This project aims to design and develop an indigenous, low-cost, remotely operated platform with state-of-the-art facilities available at Vel Tech, Chennai and NRSC, Hyderabad. It comprises a customised rugged platform with integrated propulsion, telemetry, and control electronics for water-based applications. The vehicle's design is focused on reducing the survey time and logistic efforts, which are critical in the waterbody surveys. Also, it will cater to the indigenously developed payload systems onboard for in-situ bathymetry and water quality assessments for evaluating water quality parameters derived from satellite remote sensing techniques.

Project outcome resulted in a novel sericin-based edible formulation with FDA-approved additives (Chitosan, Aloe Vera, Glycerin) that forms a transparent, antimicrobial film for food coating. This enhances the shelf life of tomatoes (21 days), strawberries (14 days), oranges (15 days), and bananas (9 days), potentially replacing synthetic wax-based coatings. Additionally, we augmented natural silk fabrics with nanoparticles synthesized via a green route using biochemicals (Aegle marmelos leaf extract, Ascorbic acid, Chitosan), incorporating Ag, Cu, and ZnO. These fabrics exhibit effective antibacterial and UV protection properties with minimal nanoparticle leaching, making the process cost-effective and simple.

The primary aim of this project was to implement metabolic engineering strategies to enhance the production of 3-Hydroxypropionic acid (3-HP) by addressing key challenges in the biosynthetic pathway. By deleting genes in competing pathways and improving glycerol assimilation, mutant strains were developed for efficient 3-HP production using crude glycerol and glucose from lignocellulosic biomass. Significant outcomes include the elimination of 1,3-PDO accumulation, increased 3-HP tolerance via yieP deletion, and achieving a high 3-HP titre of 60 g/L.

Precision BrackishWater Aquaculture Technology using Machine Intelligence” is primarily for brackish water shrimp aquaculture deals with collecting the real time shrimp pond water quality parameters. These water quality parameters are vital for shrimp health and living lead to the design of water buoy a standalone IOT enabled device which collects the pH, DO, temperature, TDS, Turbidity from the shrimp ponds and data collected in the ponds will be sent to a cloud server through web applications dashboard and android application we can monitor the shrimp pond in real time gives alerts! and messages are provided to the farmers when a critical situation arrives Furthermore, a TinyML algorithm which is in embedded level programming which filters out the wrong data and gives out the accurate data of the shrimp pond thus, achieving the experimental error of ±0.5 for all the water quality parameters reducing the risk to famers and making it from high-risk high profit to low-risk high profit to famers.