1. Fabrication of  ceramic tiles with bamboo dust  as partial replacement of Marble powder.
2. Fabrication of ceramic tiles with bamboo dust  and  White Dholpur Stone powder instead of Marble powder.
3. Determination of physical and mechanical properties i.e.water absorption and bulk density, Modulus of Rupture and Breaking strength, Shrinkage, loss of ignition and chemical resistance,resistance of deep abrasion of ceramic tiles.
4. Comparative study of ceramic tiles Type A [Marble Powder (MP) and Bamboo Dust (BD)] with Type B [White Dholpur stone powder (WDSP) and Bamboo Dust (BD)].
5. Determination of surface characterization using X-ray diffraction (XRD) and Scanning electron microscopy (SEM).
6. Cost benefit analysis.

Depletion of natural resources has become a major concern in today’s modern industrialized world centring much attention on sustainability of the environment and sustainable alternatives to current development and construction practices. Recently, in the attention in response to global warming issues and sustainable society, the construction process using natural materials has become active. Bamboo steam and leaf offer certain cementitious properties when it burns in control temperature. Such properties make bamboo as a choice of construction material. For bamboo as nutrient for bacteria, different type of bacteria, amount of dosing and healing capacity of different bacteria with nutrient are the major variables that can affect the design methodology. As these variables directly affect the healing capacity and formation, so proper experiment based material characterization is important and to be performed. Due to these parameters, a large number of experiments are necessary to statistically characterize these healing performances. In the present work, a locally available bamboo, is taken and power form is made. M25 grade concrete has been considered for performing experimentation. Results which are obtained from these experiments will be utilized to study the characterization of concrete properties.

Dataset to be created using different parameters for prediction of concrete compressive strength, deflection of Bamboo
Reinforced Concrete Beams (BRCB), and shear strength.

To develop machine learning models that can predict concrete compressive strength, deflection in Bamboo Reinforced
Concrete Beams (BRCB), and shear strength.

To create models that will improve generalisation performance.

Propose an effective model that will aid in the reduction of experimental work.

To determine physical and mechanical properties of SCG Paste & Mortar.

To establish the mix proportion for SCGC.

To evaluate durability studies on SCGC.

To investigate the structural behavior of SCGC.