From 0ab3040f298ed90873222a011fcb70d21beb6517 Mon Sep 17 00:00:00 2001
From: Flatlogic Bot <support@flatlogic.com>
Date: Fri, 19 Jun 2026 16:04:15 +0000
Subject: [PATCH] OPTEMA AI

---
 core/__pycache__/forms.cpython-311.pyc | Bin 2272 -> 2335 bytes
 core/__pycache__/views.cpython-311.pyc | Bin 43786 -> 46264 bytes
 core/forms.py                          |   2 +-
 core/templates/core/index.html         |   4 +-
 core/views.py                          | 198 +++++++++++++++++--------
 5 files changed, 138 insertions(+), 66 deletions(-)

diff --git a/core/__pycache__/forms.cpython-311.pyc b/core/__pycache__/forms.cpython-311.pyc
index fe54f6151737107332cd87e376bf9e870abcfe25..ca0a07bb2164de3be70416d3105ac2c782729591 100644
GIT binary patch
delta 211
zcmaDLIA4f&IWI340}wc-n`Uj@$ScoOpXHpNSCXG$rQj6m>!(munx3hUomiBbm#C1G
znOK>qP?DLKo}Q_rke^$XTB1-=T2z{+U~HhOqmWpVSgMd+nv<EBq2QHTkeHXQ9}HBR
zSWsG&sF0EhWaTNOBm&JbGB8lcDlJLW(`3HInw*nZTzreAD8Ib;7I#5T;^uxPUPeV-
z{fzwFRQ=MV(!7#V{nU!o<kFJ-BK`9GqU_>=#N<@{$#a=y8Rt&k&1}o|fr&xEhiUU~
H=BF$G;+04}

delta 127
zcmbO)^gxhzIWI340}#kZnr6-1$Scp}=jWWCSCXG$rQltflbM*IkdmnooSB!NSWsG&
zsE}BaSgPQaT9BBRuA`8Wn3t$vWMH6>Ra%m$qX1NtnWtc^P?DHYnx{~lnv+_bn7Mfx
dlM*8%@8p}zvW&APe`mI3z9FB#*^1>U3jn>HD9``^

diff --git a/core/__pycache__/views.cpython-311.pyc b/core/__pycache__/views.cpython-311.pyc
index 2512f3d02fbf6848789e876cf4643b39d0232edd..a295251d0fc7e43ef2e1160488427c553119db0a 100644
GIT binary patch
delta 6605
zcmb7H3v^t?dA_r|clFj<T0L#ay0-jUEK9Z}%WqqfCG+q@!jiEqBg<EstJU@H-rdZ-
z*S3}ws{n~@oCKMn0g44K1Zo1|wap<(lT%3P$)i0Wb7T+~($JEo7!snCB!^N0{r|hW
zS{d4&Q=Qd!XXgLspMU<>%-s2!<9k;eEB?BmAXk9D-w&-j_NO}p;T`Ox{|Zx$538K#
zR+!}0a}Pd1;(QZXlM|;~?jXI(X`CD6p6v5tuTSw^xQ4fuEsnPfeHFbcm6f!&GA&1d
z-r+6KgYV5(jrQT_*DC1|zd-vRCV)q6lpiK^fDTf6-mUnkGG~sD4qesrXL@uP=EqfA
zz%d&GASOr`q{M_WtRPg&^k~>Gz|@F6=Swh$Q32=pvwQ2PeuvPziW-3R)C6px#{pN<
z6M$>zNx-#q1hA1t0h=o5E$~@KV}Q+c6mUHy-GXl{p*fC{MXMTy!y%=?956M*Y*0=r
zgQgK?4JX1Zphx6Er6KW(^Vjw6ALa<cDZ+p0UCiHH`(*JM5+T%0vuO5tC(VgDnTMZi
zt}4+8&4rGG=0PjpCKm9&ZLF=#jk#d75Jo-r=)9Pl)zG2~F21I*loa!Vrlr8+1|Bc)
zl-N9_F_D$pJgsFVyuZoYQ3fLpS`Hi)$l(`9v;4wncFZ|W*f(M>z_T$It&EC-FbYc1
z`F0C5iseQjs7CXEx`035w1`xJx;3Pl|6OAhe|nwhTxf`VVWd{9nQ&5xcdT2*UCk0%
zoThWOP7-Tv+8gUu@^PS5^QFxj#ibK2x{wbxFU?toR4~SJTk;D2Y;%q1v#FP1rEB;f
zo0p2qCPa{4vwlt1N?JF&`&B%&ez~(ADEF>kLmF^?!|DkK1)XN&RY>pVF(L?0z<=`Z
z0fDZuwJP7R#<`X@+WOwLUUW8rwD5+qV`m6m7jPgmJ8yVXv)~hR#9U7{KL(U1Y${S9
zPwpHo0Qa@W3h4SwFtWvT1B`6UjKH#+u2K&8`J#;rayCzhS_Rz##td();43#46>Oex
zjuvVTx^1*Dmd|foTE41)ZqG<EO6TZQKwB~tSh2NI;1Oq8eXI~VZ5a~Xao%;c9f<I?
zv$TEGgWKhoHZHpMb6XpoXOz!bXddmjLwIuM)!QE}iWOb8?alOB^hND;Fg{0R*!=ZZ
zZN7-M;N}n9@CCkI6FFKQ-Tj5}Jzx}%Hgblr0oy@N)Q#P2WVR@rCPReoy(8P0&)+&Q
z{~#4Ur)+Vom~Ds^)6UEs+LdXKdVzLhrhgT!gzh^-U>n^=HGgGO^@5(57kc|+C4ieJ
zazM4xST^(0o04?T0aO<ftu*G;OJk+{#isJ|gP(Um%$26q9{N0OP862M#55o2<+p6E
z%qyjb>CNZeP?7rhLz~NP_H-)&tU$YDL-B{1YPt4@%uuvxSk~2`L={5`=&BS@MxaDd
ziOLK*TKGgzp?(FrhCCqaiqzTF)3K-3=d{G2JfH+w8CrOlKf5`WXxZW-<h?}4)@DLp
zPsFw@CwXrmbs@rA{Hg6*$$uq&vz<6eLE?k9I>IBaGItXY|AO$AL-VgY<49)I(}gi|
zlW;GA;PcuQ)nR1^QcCZ&rTLspLZMdxtn9%gZA3?ROVSuG+S(W|fn3%bVc?^8g?EK9
zVX|6=-v#4^_Mgt5YVVmmc=Xlwqm%7N@1p>jpUuS<*m5I^Hlhs30}M0Sa_ixssjE?M
z(u|U!u$0X<NztNusa?_hvL*$>8XB@qiY}>>j>|!nf_Wus22Dv0$V>{!x*U{;CDV{Y
zGR&;3m%5k=?l5FsN-iPEC*<HJDKWqOc|tt=)sF3P%cUtN4XdbiZ|m+u-Pd>bx3~7R
zwzYP5u)hc0d}VAieAovFKSuZg!jlL;LU<nG_Xz)i@DPBN#S~p(#}&(M>heHPVIShC
zlZ8)M&LP!ce?ZQcam+Q)qUeTIkhXKbYA7MAAi~s;%trbLWm8wIdFd|h!BE2*`y<TN
zF+8NB5<j!Eq0j*?c^d~`hBNOY{tr73SJhq|o~&>A-m)1%*hN|$@X2XQ;dG+r+D#-o
z&pppQcHK;2LcZ>zJ6=2^WQjLA#)mJ|y;@d3SyumximIe%lX$tI1sa#C<tcFFp#M_E
z@KnX{>4NFJiW$L~)8(A5@?E@Us%qUc@>JD^(|e|C>MkCfs%d`aOH(x)C-bXj9Kymb
z=QA5X5BMhW^4`Ho8oIPso7$^wn@fQ9e#Zc6JIf30QOBOt#JPmidq0}aDdoAHe-pQI
zyOfZ^RLziweYs#<Go)F00T_e8VXCZIZcXvaOtx|(vy4`@tod;es1b7@s0J*Ns+z1@
zA}~?;<HDdkB5M$TDQdQ=>4vQ7s!xoTU#}@cs;(-~mEz%u!XPBWnjDPI>%yQt0U@bL
zK_w&)M~iwO(V++g!$DaZFqs*M7PmnXXwrZRD@cY4dZ^KoZi8XgsW3q003<_1Hejjw
z`yf(al3_Ac$G{IWND8|d&1*HOYQ&R*qNQC58<5oiNH#J{M!oH-A5tNhoE>3dUD2cS
zIv|lu6c<o6g&mWlo-W%64QZ=f!HVp2v){spEdsDyEF3nh>~u6*`DzGmT}D6u=*Eh8
zuH_z3b<oQaA^3-7%YDp*tkf)*5e|gG#4JorFmX5(RSYW!3PFmVl`=CF9aA^pe#ejs
zGr>8U&lN51k(pmHqzIUlNp_}3EB44NprGNTfC(P-OL1igO0hZ=t?sfHN*NKhYRXuF
z2Ta2pmbGX_n{D$s9!uFDR`TpqbzCUDIQlYe(4_j&;?9TxDGFwT7(s<VWN8OP!jfbt
z%#mw}Z3-}0*}D`IG=#n6^3V2_#l=vV%0bKJmyfBIXompSTYY#ah;<?W0hkR3gNak@
zqT_Q$OLnB_v)dY$jc5^ungU(~Eu;Zl3^fL|Obh|0XcW@H87<fa^^=8z$tY=w7POhN
zA*J1n;Tal$>Ioj9GK3uL$dg{KVZelw3f$GBz_}F+`&C~KkMFOFLl6uZCuF8rqQY31
zSy^BpKa)e2bHMaNVOMo5XnA39sBGAg2b$!znSLorik7u99f}@?b=rp*yU_yhA9xLl
zx(4wBlk)8tPfshfU9!~<@<5m>R$gaj35XTYQ`H;hx*>ZvsI41nz?W@_0Tn7Nf4Qe@
z50(PWk6nn-TnZda9e~3KjL+mjND4o2L&`DKd!K12snjjn6V_BX^E0s*Eo$fG`xnQH
zdr}j@^m1?&#EAmCnT??C&Mr_kGFvHpBFlp6&G1x(!#EWrRu0%CX=*DQ4UU>K4>JA^
z6LB84pbQG^UjZKXTJC@uROMkyOuW+h8CjJ{*CfBqT7;8|5oT9p+n~$e=zcBET9B|E
z;WZEm+g;vcLT+ksL4mM>fWT4)_YyNC4VnQnBIyxDSBJn?Rqa@2FmPZTk}$~>1iJ?0
zNL1>KK%S(|-z15uaHJ&<W(ZMOYDrfi6dy=9T{7%NdCTe2cy#qHGZZm{7{+)@N}lYJ
zt|X;ES@%QC!VN2+L?Ew0zvz}WS%c~g3u{ss*QLm$NqQj6Kn4`5KwUBc>ZB7gL|vV|
zJt(PaARNW0g4;yuZb4N3S4+y=e*%-7a`Ov)EBM$=mE`-0zr3lOY<JSEIak$!)Ptqm
zfb%!~cg79x;lhW>)z@Gq#zgAj-#)Ow`-2#XR2z9|enFt~`1FAWSJ7S;<<D-Z<Vy~Y
zkT>~*2iq6hUb9Ou`rGGXZRn^S2ptGJ33nY@yoNcU0}<uIF%bbh9rdKMTuPpQEFVdQ
z0C-X4TMlikuw|p;Q`bO8>Ke$ueyH{6`@pHM1!C&LS9N5v>c|E9Leo!kr*?Et9_V{@
zN8jX*zWaIrGC!NkzVN~EaVyMb{|R6@bu+|X#O`v0j{x}A-Wqa+_w}~tQdsITF4xVU
z=w0Uah&3~UhrizY3_p0dWD$gM3%LO=26H}e`&zTh0hcO3e#_zI3y(~=KtK3huHO!L
zsp`lSV8xNCiX)S*Bm9NK6BVtngfGu>L2S#(E8S8UVG=iQepC!W^8;SfH%fwhqVF&{
zp7?WLIjKhzZNrPOoglWU?d)SUIJFyK8(wEw6Lx*Pv449`1vVD|@OXbEq5S^-nB%ts
zFF(30_f{DF1pf7x__aq@=1h9mPiEmS5j~nKdQaoTL4-RIP62RBZFN*QxTQQNoy9@>
z^8YTZs6$VX7{()e4<PE}Gioh=WyoE#3N+I5VQfseP%^o!d1}%6G0+GGdVCJ{KL5ke
zZ^&8xFaDa{xCFZkVHL`$M`%D;jbJZ04pcb(Wi7zYLDNT=2WSwC60+QlbAN@cQ+)UE
z4o8E7pBw&kon5M|94e3Ws~S~K+H1gVK-L2w09Au{MFEx*c#;}?lmATJ=V)>8>SMPp
z`ZCJB4WR(JJl#F5J^Q=+?fZIfM?1Tnzi@1~+gATJUL2?+zv9~i<>WqoAh6nf5$1Uu
ziLVDn+~gCU#cm*b_&!!g-but+BO$*`B=mQjHUI0jamVZ&|L%#_yr-dgr5!Y2V+nF{
z#6@o8x5VnRaRHwPw)|}D_Pj@s{aXl+^6jG=+%H0Nrz0^s`fOIdonUtDo)P$_uju4E
z{Hd?}JnQ?&4IvT#YCAd3U;1in{!=*8feU>XTi0M~C&F{Q_taUENc{TLxPuh&6L(e*
zJ&YV2iSrRk5H=z-BcN_}rup*i2(n)>mfL<+=<ETc{uuc(YQKbI_Sy0%w$jRdd}pKh
zGZ=^@)}DRFNuEl)^Nr)geF<4!;r-*seF<nr%i+kzvtNRnsuF}}kF-o`^(z`1L&kNu
z(s%f$<DC3c;_h<`oC_DiFob|@L03}2j3$rrf4rwooC21+5}(|2IhlQSy6uH{!77n_
zm|?Cmv@=5mA*Ss>_<(=*&86aNF!G~>@7_8W`3b-2fhEP6TYp3HGGE6>9{6W6%@3Zh
zEqxG$Y(*{Y7oQyyxAO7x%iOmk<u(4p^FDVyHXq{epRdfbuxYRMCihG%7XKakKS?xC
zsDun9E<Ct_tauAKegOa}g0agU!htbt;V}Wq{u>Tlx%<Kb@jYn0oscfnIg0PcLG+G~
zSdK^lqvOcK_pY{=x(|l&xu`3UO}gqIHguL*rjWT&I3^V+x%82xohZf<hg1glnvBu#
zxoE3kr<*S;smBM%n-4d6c)|3;y)B|Aw})#cAHcuk_dl{&{1EzA5-&WGL&ygH^Kbn*
zj^ZFMJ9hMR?wfr+TW)+=D7uxWD}!)R>c<n@J^_-7*p9;@m<m&Dp$i%MoT2L&T9lz-
z7%rKtcUZdYO80U07Pvv1L1kM$`xMCV6ZE&mMBQUCNBjmt+%v)#@Q6bwT{PoxmgK^l
zH4WMBBIwRSp}Q2jX($vbubD0>n^{@r1&Ii&h0^LT$PiJ+EX4CgoIeZsLZyU4mX~-y
z2tu7uTJr@VE)+5gxh|A33%MypYKx0N2Eq!VRQjJ~#QzT=t5A{J;$jp607Cx%iY!aY
zNGsxZ3=uCJ%7|m0nJ(uxp``Y8ukTf_?~-@rly~Kf;2=#ljP06U=)1UVYT=r(UE{fz
zTnnbFmS4=Bs%nI8_9a*4q^oi!o4<H*N7V{JEE(TD<ytiD@{V6O<*LT-4O6a~w@a${
z&c|2sryuu}OUQ(SNZd8$lHM+vKkY5$osTcB^G%nO&QyCu*eJq&vZ>TDDHP3|BxR(Z
OfG;z+mLL4~bN>x@7KNw)

delta 4211
zcmZ`*3v?9a6`p^0XR@2kW=TTcgq;KlEab&2ApwLuKwc6g^mqVeGn;?1S$4A<|JgyZ
zXJb&HwxS5<uSE|8d;wO_QifJ*d$dYhwQ5iBNynqD)fOqX=GgWewH15sY)BMNH<NGf
z+<X6fzkC13%+nWacfD<!e$3;^6yWztVBVJgq#%5V50`&gqryL1Z2P9`B)sp?0kVZR
zky)-Sbm302aT?vi6XXZoA%Sjum;i3F@TP|ey_uHMwu4eg+UTd7cM2P4&;Z~}+6h=i
z6~Jm51gxQ5fVGqY)=?F37VQR{O+$clXb<3AN;(98#8__cB*bI9?D%Vq^CPDq>=zP*
zpFC8;-<Wff@0&ZNP)gaEjb_9MbyC+sJIzcvm^YEZN4A!ffKq}-8+C(}WtlxGiTP+Y
zf3UPr^zIZ=5`R8AIqfKc;{<Tbu^e+#BFncN3;1h=6PAM^4^%cf5u|){2{{HbLc)ME
zW#3EKo|FS{cgjHvlA<6CxKegnXi1qVdnz*t4IglWwTM4IubdR~=jwg-k~B^3s~7F1
z36bBmZHhQ)$WF`nL-X@^u)c&pTQA#v<6fi`$BDA#^I`o=o~oBg39oHv6f1@tw3PQY
zOm$5`D>UL7E5}rbyLMZdSZUe+*x)16_}2|n#VJD~<nhm+B~GXQ(SFRh+z;mgVaP^j
zT0~}%DhyOu4H_VMd6@`8x<H;YKToW&2$eU^5^HH)n(jg?#4KcTlnBCc_)q_c06oh}
z5js0!Lk&Ba$Qw1mEoDnNPR!v?G?vbpTRf&_6?9(8L+i&i2L#&iEixVo{=B`RxOo1M
z7%QTUS6G|UR@eL?`#^TgMi=n*rZTdS_cj&t8BOjQ2!HK(_@hAWxJ3^+q_V-fc-%^t
z@aLNHGnxmySO$N$shrH=Up4u}mYu?hR$jg!&-+dC3uqg5aO%=j4qZ4N1xi@<Es{BO
zQJQ4qbys;VA9BUqbj4Nrl~9g1mY;I6Ji01T%pY1<ma`gl(B#~dUCU49J}B~>%KYN%
zubhUIW86A*%~jU%2`Ws9<DR6QU%#l>olDo!8xBgaMc46L78UUGi?-$Y?WP!2f@+i%
zK+{+cfDyRXLC6JzF0Lo!ZR5a_X~caFjgt}H<*zj_B3~Nr7Gft^hG%INF^*sN6zq52
zwPJArI|EMsJhlLCrn5^)sG&IP=dZ3PkuKu!PxvP*N~ZrEt#%f_)wFkq6YL*o`910!
zK~+nzPeIghfpKMJt><$P{)C!;!BN5wt=wc3tZF1qmpDP%zI-IhxN-Gk5-H%n>^N;>
z9~duh$hMW6&PY0Qn3cmw)7huS`qiKkG$kz_)wMAH=sV?uk|}M`m8cRkU0@#-r9Kv?
zdc+iUP3cigDHzsbVa;?T;*q%Do-A6gu#lRN`xH%Kaw1HXh@4RSlti*%EsOWYwXht~
znGy@hYPT9mgu9bdKo0?B=&{}_YpSLz;G+ih!GzwU#L|)cj-+>8Si`_75DJBqSkk*z
zWkDqz3Cn3p$=vq7M7URh6n!e(6iAaSY5{LOCU-%om>LDk<wC?36<kc`Dpdy;CFYk*
z2TG>YqbKk_D5md@kg_FgIulAzM?X^xhLwH=YAsoBm8Vcej>KaL7LNk&bg*RcS~V7e
zijV{}fJK$44kbdyWYJn=r$@jr+KRZvI|?B^ExMABA$v$+tAT#$Dyvyx*~&TEPpBag
zj)jsXtqKdvn%)~!S-NB^Xi#B#(%Y(NJ>Ajxt+hd&!h~?gO>eI<ovY)au$Bl%{GusF
z!YtftW<s<ON>G^uL#+;kbc%Ne(-SJN%3TNd(d46CdHIHkt|FK^m@t|0h7A?Vyz80L
z6#-&$I!v-;Y=SgMs`knhZY&&x^<}!-`&0%~6^|)V)3siW#Ntul=9l<?Z=5uk0W%t6
zO0OxZjK!I059%S{F|i{ZC%sfgnIsFFnHEmKV$#{=hNf3sUW*=rzF<kP+~ueqQz8&0
zt68Vvgq-G-^o)^=#HpHILlxE{f{<xa$z0?Y)@tM9ocX201=2})0o*C^8>&lqU4J%T
zvbmW2(Ac=SknpDh6Z7_`NMBjP4f|{KM?L)gKrPAU*`4>1`}m`sZ53XKz}yHQfRo?B
zzJwe555iXnmjs@vRPc$N1zb}ai!9Fx;J(H>Z2UGRqu0m$*Glu?BcRu2!}G`Rw_O;X
z)Ct#v^jC9V%6zl6WBA6v>#c#|*1-Mi0md)Oi<QDKzr=2Xo0-$Rrg`;-jujn&w&wNC
zEzKQEO*<?y_B^JVh8~WXx-H?)NFQP@Jdy(81lNOJ@-g2PY|C5%OzuTCx%`b_rQ{KP
zBZ7y29X!cLx=JT^4mr}?-l|y)!r4ikZvqx|zFE{c?C9k2>{8xF?<o2LDY;DttVD%9
zgSjU|NLI|>r$@vUARgu4QwMB)gtu2uvie^(-OHDBm-E}Z^9|OWL40G4WkopD2XHOE
z09hqIR`X+_#hyG6&5S7Q=$I1YpN5Lb67K3r+1!NR*;ARh3CySAUpvE}>Y3@>yYTf4
z-*AS{xY&~^PEaw-VuTO^<zlSOHca@c*eSUOHP##9JY>}1Nst-7DA@&oq@PcYP2o%8
zlI<^qFON?mf8%QWlR+G1W@&m?m#S$228Xoi0<^Y?>d#~pqec;`F;opgEkYfFm9rN^
zIAGC7SPVozVP3Go(vs07j$`rL*b1dNK$2y7dz#rPKHOJlJ5RXnmP<{h6JG_G+H_H+
zKM;;lb(@tN4tqt5Kw$i=_KQ|v(+)mqW(huzt+Rbj`1jcz(q_yT;5k|e>Eu<~YRRe~
zz;Dy4ijjty)5TOMlLjtl)7VyiMyr#)3nO17#ur+@ME=dS<Vqs)XOmUr&&I{%975hV
ze5nuZzW>_`Yy*q&^6ky;dqBL<hBe=8^ltBW5Enncv&M-D{9c%~vRymex1;+V2s`-k
zUGt^GAYLNIg<U_%$g-AE7TP?7AH7E-yLri;-(~Da4J?z3d)i11ue&!@ayM$0Vj_;x
z43w53?B&0`cQ@H*tlPWS=F0|~DRroL#QNRrS#-e90qfI%ZRdoSEk|zFhVy5o=lnBp
zFr_X<hx3;8qxA(GGEVzp)G>q|2$#uq^Eu)%P)s)t@soCPx6!_TE0KPTE>G}R?%(R)
z2V$}i4stwi<#np2Mx*dLsg#>TYK+~Cj`J|nZocIKP98TdJy2?&TnK8If2)IzG{JEu
zJ9xuTm3RtVt}}Xu-Xb+)+i(pm7Cal$<>DS@*k^_W;ViS3#%DZoc&dn7PB-p5T;(9A
z`3sL+!@qdsJ@PaD&ZATEQ#fJ~QnH$6Er3njd!$n8M9XQu;D~?5Y!n9&wxg#D0A6_+
zOua?N52&ZnVx{{z-*cow{0%%08b3V}CZxmg9h*<4KZ72>0Dz6-!4Ovjv#~Si@gg65
ztW<mn#QTlIk5$=nZ$&N6kDr*fz6h?5_a5J0XXV-oYSYuDXew+bEgb4eXly)BHj^+9
z?kP6FA3Z*`9mAMncbEa=@wVaTo>h>w+u#(oh`frvSxOh~*8se1`?Pd@n3Lh+VXyI`
z6BXiFcz(!Oe8NS@Jig+IuNGP18qv#2VND7ide-EQPY=WSWH>Dho5iqXc9#F>$ujpJ
zK!i)s-f<XbpG?_`TM3aygsX6^jXRCjmKj2R*}1&-Ve1;PIr1|{gfYkz^Wbp|vV>y!
z+{A(r-vkjNB3vWn`*_HhnKuLVWnR=HR6tbFH+ewtoy%J`Y+bz1sF+lFm8U$GA04Wz
ezwOX#>n8cOVIgN^oqZxv$cXR_tl`q>Q~v{kw!7~D

diff --git a/core/forms.py b/core/forms.py
index ae1e584..243e755 100644
--- a/core/forms.py
+++ b/core/forms.py
@@ -15,7 +15,7 @@ class ProblemCaseForm(forms.ModelForm):
             "description": forms.Textarea(attrs={
                 "class": "form-control problem-textarea",
                 "rows": 9,
-                "placeholder": "Contoh: Kuliah di Singapura atau Jepang, dana 200 juta, ingin 3 tahun selesai.",
+                "placeholder": "Contoh: BUMN rugi karena biaya tinggi, omzet turun 30%, atau kuliah Jepang/Singapura dengan dana 200 juta.",
             }),
             "urgency": forms.TextInput(attrs={
                 "type": "range",
diff --git a/core/templates/core/index.html b/core/templates/core/index.html
index b4b9bdd..128e8a5 100644
--- a/core/templates/core/index.html
+++ b/core/templates/core/index.html
@@ -16,7 +16,7 @@
           <p class="eyebrow mb-3">Mesin Pemecah Masalah Universal & Decision Intelligence Platform</p>
           <h1 class="display-heading mb-4">💡 OPTEMA AI</h1>
           <h2 class="hero-subtitle mb-3">Optimal, Effective, Efficient Management Assistant</h2>
-          <p class="hero-copy mb-4">MVP single-user tanpa login: masukkan masalah bisnis, keuangan, karier, logistik, teknologi, atau pendidikan; atur urgensi, lalu dapatkan simulasi Problem Detection, Root Cause, Decision Scoring, dan Action Plan yang tersimpan otomatis.</p>
+          <p class="hero-copy mb-4">MVP single-user tanpa login: masukkan masalah pemerintah/publik, bisnis, keuangan, karier, logistik, teknologi, atau pendidikan; atur urgensi, lalu dapatkan simulasi Problem Detection, Root Cause, Decision Scoring, dan Action Plan yang tersimpan otomatis.</p>
           <div class="d-flex flex-wrap gap-3">
             <a href="#analisis" class="btn btn-optema btn-lg">Jalankan Analisis AI</a>
             <a href="{% url 'case_list' %}" class="btn btn-outline-optema btn-lg">Lihat Riwayat Case</a>
@@ -70,7 +70,7 @@
               <span class="panel-icon">📥</span>
               <div>
                 <h2>Input Masalah</h2>
-                <p>Masukkan masalah, target, atau hambatan Anda. Contoh: kuliah Singapura/Jepang dengan budget terbatas.</p>
+                <p>Masukkan masalah, target, atau hambatan Anda. Contoh: BUMN rugi karena biaya tinggi, omzet toko turun, atau kuliah Singapura/Jepang dengan budget terbatas.</p>
               </div>
             </div>
             <form method="post" novalidate>
diff --git a/core/views.py b/core/views.py
index 8e32400..188d8d3 100644
--- a/core/views.py
+++ b/core/views.py
@@ -228,6 +228,7 @@ def _build_case_insights(description, category=None):
     countries = case_data.get("countries")
     percentages = case_data.get("percentages") or []
     detected = [
+        {"label": "Sektor/Kategori", "value": category or "Umum", "note": "hasil deteksi keyword dari knowledge database OPTEMA"},
         {"label": "Dana/budget", "value": _format_idr(budget) if budget else "Belum disebut", "note": "angka terbesar yang terdeteksi sebagai uang" if budget else "tambahkan nominal agar kalkulasi lebih presisi"},
         {"label": "Target waktu", "value": _format_years(years) if years else "Belum disebut", "note": "diambil dari kata tahun/bulan/semester" if years else "tambahkan deadline atau durasi target"},
         {"label": "Persentase/rasio", "value": ", ".join(f"{value:g}%" for value in percentages) if percentages else "Belum disebut", "note": "persen yang muncul di pertanyaan" if percentages else "tambahkan rasio seperti turun 30% atau target naik 20%"},
@@ -271,6 +272,12 @@ def _build_case_insights(description, category=None):
             if best["shortfall_low"] else
             f"Opsi paling aman secara angka awal adalah {best['country']} karena estimasi minimumnya masih masuk budget."
         )
+    elif category and category != "Pendidikan":
+        category_item = next((item for item in ANALYSIS_DATABASE if item["kategori"] == category), None)
+        if category_item:
+            primary_cause = category_item["penyebab"][0]
+            primary_solution = category_item["solusi"][0]
+            recommendation = f"Sektor terdeteksi: {category}. Dengan konteks {_case_constraint_note(case_data)}, validasi dulu akar masalah utama: {primary_cause}. Prioritas solusi awal: {primary_solution}."
     elif calculations:
         recommendation = f"Analisis disesuaikan dengan {_case_constraint_note(case_data)}; gunakan angka ini sebagai batas saat memilih solusi."
 
@@ -291,6 +298,114 @@ def _build_case_insights(description, category=None):
     }
 
 
+SECTOR_DATABASE = {
+    "pemerintah": {
+        "kategori": "Pemerintah",
+        "keyword": [
+            "bumn", "kementerian", "negara", "pemerintah", "anggaran", "publik",
+            "dinas", "pemda", "layanan publik", "instansi",
+        ],
+        "root": [
+            "Inefisiensi operasional",
+            "Pengawasan lemah",
+            "Tata kelola buruk",
+            "Beban biaya tinggi",
+            "Strategi tidak tepat",
+        ],
+        "solution": [
+            "Restrukturisasi organisasi",
+            "Audit biaya",
+            "Perbaikan tata kelola",
+            "Digitalisasi proses",
+            "Evaluasi kinerja",
+        ],
+        "impact_label": "Publik/anggaran",
+        "priority": 25,
+    },
+    "bisnis": {
+        "kategori": "Bisnis",
+        "keyword": [
+            "bisnis", "usaha", "jualan", "toko", "produk", "omzet",
+            "penjualan", "layanan", "customer", "pelanggan",
+        ],
+        "root": [
+            "Target pasar salah",
+            "Marketing kurang efektif",
+            "Produk tidak sesuai kebutuhan",
+            "Biaya operasional tinggi",
+        ],
+        "solution": [
+            "Riset pelanggan",
+            "Perbaikan produk",
+            "Optimasi pemasaran",
+            "Efisiensi operasional",
+        ],
+        "impact_label": "Besar",
+        "priority": 10,
+    },
+    "keuangan": {
+        "kategori": "Keuangan",
+        "keyword": [
+            "uang", "hutang", "utang", "modal", "gaji", "biaya",
+            "cashflow", "kas", "tabungan", "budget",
+        ],
+        "root": [
+            "Cashflow tidak sehat",
+            "Pengeluaran besar",
+            "Pemasukan rendah",
+        ],
+        "solution": [
+            "Kontrol biaya",
+            "Buat anggaran",
+            "Tambah pendapatan",
+        ],
+        "impact_label": "Cashflow/budget",
+        "priority": 10,
+    },
+    "teknologi": {
+        "kategori": "Teknologi",
+        "keyword": [
+            "aplikasi", "website", "coding", "software", "error",
+            "program", "bug", "sistem", "otomatisasi",
+        ],
+        "root": [
+            "Bug sistem",
+            "Arsitektur kurang baik",
+            "Proses manual",
+        ],
+        "solution": [
+            "Audit sistem",
+            "Perbaikan kode",
+            "Otomatisasi",
+        ],
+        "impact_label": "Teknis/operasional",
+        "priority": 10,
+    },
+    "logistik": {
+        "kategori": "Logistik",
+        "keyword": [
+            "kirim", "barang", "gudang", "rute", "pengiriman",
+            "distribusi", "tracking", "kurir",
+        ],
+        "root": [
+            "Rute buruk",
+            "Monitoring kurang",
+            "Distribusi lambat",
+        ],
+        "solution": [
+            "Optimasi rute",
+            "Tracking real-time",
+            "Perbaikan SOP",
+        ],
+        "impact_label": "Operasional",
+        "priority": 10,
+    },
+}
+
+for sector_data in SECTOR_DATABASE.values():
+    sector_data["penyebab"] = sector_data["root"]
+    sector_data["solusi"] = sector_data["solution"]
+
 ANALYSIS_DATABASE = [
     {
         "kategori": "Pendidikan",
@@ -312,39 +427,9 @@ ANALYSIS_DATABASE = [
         "impact_label": "Budget ketat",
         "priority": 50,
     },
-    {
-        "kategori": "Bisnis",
-        "keyword": ["jualan", "penjualan", "produk", "usaha", "bisnis", "toko"],
-        "penyebab": [
-            "Target pasar tidak tepat",
-            "Promosi kurang efektif",
-            "Produk belum sesuai kebutuhan pasar",
-        ],
-        "solusi": [
-            "Riset pelanggan",
-            "Perbaiki produk",
-            "Optimasi pemasaran",
-            "Bangun channel penjualan",
-        ],
-        "impact_label": "Besar",
-        "priority": 10,
-    },
-    {
-        "kategori": "Keuangan",
-        "keyword": ["uang", "hutang", "utang", "gaji", "tabungan", "biaya"],
-        "penyebab": [
-            "Tidak ada kontrol keuangan",
-            "Pengeluaran terlalu besar",
-            "Pemasukan kurang optimal",
-        ],
-        "solusi": [
-            "Buat anggaran",
-            "Kurangi biaya tidak penting",
-            "Cari sumber pemasukan baru",
-        ],
-        "impact_label": "Cashflow/budget",
-        "priority": 10,
-    },
+    SECTOR_DATABASE["pemerintah"],
+    SECTOR_DATABASE["bisnis"],
+    SECTOR_DATABASE["keuangan"],
     {
         "kategori": "Karier",
         "keyword": ["kerja", "pekerjaan", "cv", "skill", "karir", "karier"],
@@ -361,41 +446,26 @@ ANALYSIS_DATABASE = [
         "impact_label": "Dampak karier",
         "priority": 10,
     },
+    SECTOR_DATABASE["logistik"],
+    SECTOR_DATABASE["teknologi"],
     {
-        "kategori": "Logistik",
-        "keyword": ["kirim", "pengiriman", "barang", "gudang", "rute"],
+        "kategori": "Umum",
+        "keyword": [],
         "penyebab": [
-            "Rute tidak optimal",
-            "Monitoring kurang",
-            "Proses distribusi lambat",
+            "Tujuan dan batasan belum cukup spesifik",
+            "Data pendukung belum lengkap",
+            "Opsi solusi belum diprioritaskan",
         ],
         "solusi": [
-            "Optimasi rute",
-            "Tracking barang",
-            "Perbaiki sistem distribusi",
+            "Perjelas tujuan dan indikator sukses",
+            "Kumpulkan data utama sebelum mengambil keputusan",
+            "Bandingkan opsi dengan skor dampak, biaya, waktu, dan risiko",
         ],
-        "impact_label": "Operasional",
-        "priority": 10,
-    },
-    {
-        "kategori": "Teknologi",
-        "keyword": ["aplikasi", "website", "coding", "program", "error", "bug"],
-        "penyebab": [
-            "Sistem belum optimal",
-            "Arsitektur kurang tepat",
-            "Bug perangkat lunak",
-        ],
-        "solusi": [
-            "Audit sistem",
-            "Perbaiki kode",
-            "Optimasi teknologi",
-        ],
-        "impact_label": "Teknis/operasional",
-        "priority": 10,
+        "impact_label": "Perlu validasi",
+        "priority": 0,
     },
 ]
 
-
 def _detect_problem_category(description):
     text = description.lower()
     best_item = None
@@ -411,12 +481,14 @@ def _detect_problem_category(description):
             score += 35
         if item["kategori"] == "Pendidikan" and _has_any(text, ["singapura", "singapore", "jepang", "japan"]):
             score += 20
+        if item["kategori"] == "Pemerintah" and _has_any(text, ["bumn", "kementerian", "pemerintah", "anggaran negara", "layanan publik"]):
+            score += 25
 
         if score > best_score:
             best_item = item
             best_score = score
 
-    return best_item or next(item for item in ANALYSIS_DATABASE if item["kategori"] == "Bisnis")
+    return best_item or next(item for item in ANALYSIS_DATABASE if item["kategori"] == "Umum")
 
 
 def _is_education_decision(description):
@@ -437,7 +509,7 @@ def _infer_business_area(description):
     text = description.lower()
     kategori = _detect_problem_category(description)["kategori"]
 
-    if kategori == "Pendidikan":
+    if kategori in {"Pendidikan", "Pemerintah", "Umum"}:
         return ProblemCase.AREA_OTHER
     if kategori == "Keuangan":
         return ProblemCase.AREA_FINANCE
@@ -656,7 +728,7 @@ def home(request):
         "form": form,
         "recent_cases": recent_cases,
         "page_title": "OPTEMA AI — MVP Decision Intelligence",
-        "meta_description": "OPTEMA AI membantu mengubah masalah bisnis, keuangan, karier, logistik, teknologi, dan pendidikan menjadi problem detection, root-cause analysis, decision scoring, dan action plan.",
+        "meta_description": "OPTEMA AI membantu mengubah masalah pemerintah/publik, bisnis, keuangan, karier, logistik, teknologi, dan pendidikan menjadi problem detection, root-cause analysis, decision scoring, dan action plan.",
     }
     return render(request, "core/index.html", context)