Neem tree (Azadirachta indica A. juss) products, including seed, possess lots of scientific and economic benefits. Neem seeds contain adequate amount of azadirachtin, a triterpeniod compound, which can also be obtained from other parts of the plant. The compound acts as an insect repellent by inhibiting them from feeding and disrupting their increase reproduction. However, there may be sparse literature on secure human consumption of neem seed. Effect of roasting, soaking in water and alkaline solution of 40% NaOH m/v, for 24hrs were carried out to determine its impact on chemical properties of neem seeds. Neem seeds were subjected to three treatments based on preliminary studies such as; steeping in water, and 10% NaOH solution for 24 h, and roasting for 10 min at 160oC. Proximate (crude protein, oil, crude fibre, ash, moisture and carbohydrate contents), minerals (Ca, Na, Mg, P, K, Cu, Zn, Fe, Mn and Se) of un-treated and treated seeds were determined using Association of Applied Chemist (AOAC) methods. A sample of 200g neem seeds was treated separately under each method and chemical analyses were carried out to estimate its level of crude protein, carbohydrates, crude fat, fibre content and the ash content. The control sample was set aside as non- treated neem seed and used as comparison to the treated samples. Roasting increased the crude fat (41.84%), Protein (19.08%), and crude fibre (3.64%) contents. Treatment also exhibit some impacts on mineral composition of the seed, alkaline treatment brought about significant increase in the levels of Sodium (40.20mg/100g) Magnesium (49.10mg/100g ) and Phosphorus (39.30mg/100g) while water soaking method brought about significant reduction in chemical components with increased level of moisture(12.21%) content only. Conversely, percentage distribution of proximate composition was influenced by water soaking while alkaline treatment improved levels of some stated minerals.

Keywords: Pre-treatments, Neem seeds, Minerals, Nutritive Components Analysis, Transformer Models, XLNet