It is possible to project without an orthonormal basis.
Our space of interest $W$ is the column space of the matrix $A$ given by
$$
A=\left[\begin{array}{rrrr}
1 & 1 & 0 & 1 \\
-3 & 5 & 4 & -2 \\
0 & 2 & 1 & 0 \\
1 & 3 & 1 & 4
\end{array}\right]
$$
A basis of $W=\operatorname{Col}(A)$ is given by the columns of $A$ corresponding to pivot columns in $\operatorname{rref}(A)$. The reduced row echelon form of $A$ is
$$
\operatorname{rref}(A)=\left[\begin{array}{rrrr}
1 & 0 & -\frac{1}{2} & 0 \\
0 & 1 & \frac{1}{2} & 0 \\
0 & 0 & 0 & 1 \\
0 & 0 & 0 & 0
\end{array}\right]
$$
This shows that $A$ has rank three and that the vectors
\begin{align*}
\left\langle1,\,-3,\,0,\,1\right\rangle &&
\left\langle1,\,5,\,2,\,3\right\rangle &&
\left\langle1,\,-2,\,0,\,4\right\rangle
\end{align*}
form a basis of $W$.
Now, put these basis vectors into the columns of a matrix
$$
X = \left[\begin{array}{rrr}
1 & 1 & 1 \\
-3 & 5 & -2 \\
0 & 2 & 0 \\
1 & 3 & 4
\end{array}\right]
$$
The projection matrix onto $W$ is
$$
P=X(X^\top X)^{-1}X^\top
$$
In our case, we end up with
$$
P=\left[\begin{array}{rrrr}
\frac{131}{231} & -\frac{10}{77} & \frac{10}{21} & \frac{10}{231} \\
-\frac{10}{77} & \frac{74}{77} & \frac{1}{7} & \frac{1}{77} \\
\frac{10}{21} & \frac{1}{7} & \frac{10}{21} & -\frac{1}{21} \\
\frac{10}{231} & \frac{1}{77} & -\frac{1}{21} & \frac{230}{231}
\end{array}\right]
$$
We can now project any vector $v\in\Bbb R^4$ onto $W$ by computing $Pv$.
If you're dead set on using orthonormal bases, then you could take these three basis vectors and apply the Gram-Schmidt algorithm. This gives the new basis
\begin{align*}
q_1 &=
\left\langle\frac{1}{\sqrt{11}},\,-\frac{3}{\sqrt{11}},\,0,\,\frac{1}{\sqrt{11}}\right\rangle &
q_2 &=
\left\langle\frac{1}{\sqrt{7}},\,\frac{1}{\sqrt{7}},\,\frac{1}{\sqrt{7}},\,\frac{2}{\sqrt{7}}\right\rangle &
q_3 &=
\left\langle-\frac{1}{\sqrt{3}},\,0,\,-\frac{1}{\sqrt{3}},\,\frac{1}{\sqrt{3}}\right\rangle
\end{align*}
We can then project any $v\in\Bbb R^4$ with the formula
$$
Pv=\langle q_1, v\rangle q_1 + \langle q_2, v\rangle q_2 + \langle q_3, v\rangle q_3
$$
Best Answer
Since $$W \oplus W^{\perp} = V $$ and $\text{proj}_W(\cdot)$ is the orthogonal projection on $W$, it's clear that $$ \forall w \in W, \text{proj}_W(w) = w $$ We have $\bar{v} \in W$, so $$ \text{proj}_W(\bar{v})=\bar v $$